<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:podcast="https://podcastindex.org/namespace/1.0">
    <channel>
        <generator>RedCircle VERIFY_TOKEN_ee95adbf-b4c2-4e42-8a8f-a3e67644afea  -- Rendered At Fri, 15 May 2026 18:05:21 &#43;0000</generator>
        <title>Brains and Machines</title>
        <link>https://redcircle.com/shows/brains-and-machines</link>
        <language>en-US</language>
        <copyright>All rights reserved.</copyright>
        <itunes:subtitle>A podcast about neuromorphic engineering and bio-inspired technology</itunes:subtitle>
        <itunes:author>Dr Sunny Bains</itunes:author>
        <itunes:summary>Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? Brains and Machines will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.

Join Dr Sunny Bains, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, Dr Giulia D’Angelo from the Czech Technical University in Prague, and commentator Prof Ralph Etienne-Cummings from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.

Produced in conjunction with Electronic Engineering Times. Check out the EETimes Current podcast for more.

Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.</itunes:summary>
        <podcast:guid>ee95adbf-b4c2-4e42-8a8f-a3e67644afea</podcast:guid>
        
        <description><![CDATA[<p>Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? <strong>Brains and Machines</strong> will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.</p><p>Join <strong>Dr Sunny Bains</strong>, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, <strong>Dr Giulia D’Angelo</strong> from the Czech Technical University in Prague, and commentator <strong>Prof Ralph Etienne-Cummings</strong> from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.</p><p>Produced in conjunction with <strong>Electronic Engineering Times</strong>. Check out the <strong>EETimes Current</strong> podcast for more.</p><p><em>Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.</em></p>]]></description>
        
        <itunes:type>episodic</itunes:type>
        <podcast:locked>no</podcast:locked>
        <itunes:owner>
            <itunes:name>Dr Sunny Bains</itunes:name>
            <itunes:email>rose.gotto@fac-media.org</itunes:email>
        </itunes:owner>
        
        <itunes:image href="https://media.redcircle.com/images/2024/9/23/9/77e8a81b-efd2-45d2-b12a-e07ced05ebd0_83c0-3fe36dc46fe5_brainsandmachines-logo-large.jpg"/>
        
        
        
            
            <itunes:category text="Technology" />

            

        
        
            
            <itunes:category text="Science">

            
                <itunes:category text="Physics"/>
            
                <itunes:category text="Natural Sciences"/>
            

        </itunes:category>
        

        
        <itunes:explicit>no</itunes:explicit>
        
        
        
        
        
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Can the Nvidia Monopoly on AI Chips Be Broken?</itunes:title>
                <title>Can the Nvidia Monopoly on AI Chips Be Broken?</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this latest episode of <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, EE Times Senior Reporter Sally Ward-Foxton talks to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> of the University College London. They discuss the importance of power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this latest episode of &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, EE Times Senior Reporter Sally Ward-Foxton talks to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; of the University College London. They discuss the importance of power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="45918667" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/105a8a60-4013-47f8-99ee-6d5f16942018/stream.mp3"/>
                
                <guid isPermaLink="false">4cac4ec2-63fb-4750-997b-6337693158f7</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 27 Apr 2026 13:42:19 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2026/4/27/13/c22ace53-d105-4d40-9a5f-fbacc89430bf_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2869</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Neuromorphic Spikes Unify Control and Decision Making</itunes:title>
                <title>Neuromorphic Spikes Unify Control and Decision Making</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this latest episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of the University College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this latest episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of the University College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="53686021" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/5ab3400a-541d-4359-865b-cca435727303/stream.mp3"/>
                
                <guid isPermaLink="false">697b9ea1-de83-4af3-aed3-bf38b9a24f97</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 27 Apr 2026 13:38:30 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2026/4/27/13/b7cd119b-9d6b-4bc8-8ed0-37b9567e135a_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3355</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?</itunes:title>
                <title>Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, the CEO and CTO talk to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> of University College London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, the CEO and CTO talk to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; of University College London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="44634697" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/dfd15aa0-90d2-491c-9c05-ba71513c8445/stream.mp3"/>
                
                <guid isPermaLink="false">a84b2cc5-e4d2-4eaa-9a4f-043f83eb658f</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Thu, 26 Feb 2026 10:25:48 &#43;0000</pubDate>
                <itunes:duration>2789</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>An Architecture for Building Brains from Top to Bottom?</itunes:title>
                <title>An Architecture for Building Brains from Top to Bottom?</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>Professor <a href="https://www.arts.uwaterloo.ca/~celiasmi/" rel="nofollow">Chris Eliasmith</a> is a computer scientist and philosopher who’s been modelling cognitive systems for almost three decades. In this episode of <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, he talks to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> of University College London about his neural engineering framework and the semantic pointer architecture his team have developed to implement it. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;Professor &lt;a href=&#34;https://www.arts.uwaterloo.ca/~celiasmi/&#34; rel=&#34;nofollow&#34;&gt;Chris Eliasmith&lt;/a&gt; is a computer scientist and philosopher who’s been modelling cognitive systems for almost three decades. In this episode of &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, he talks to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; of University College London about his neural engineering framework and the semantic pointer architecture his team have developed to implement it. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="51957342" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/2b5e02de-c451-4629-ae84-836f59507be8/stream.mp3"/>
                
                <guid isPermaLink="false">700244f1-acef-4272-a678-d276be373eb8</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 09 Jan 2026 09:20:43 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2026/1/9/9/750ab320-1892-4ba5-b11d-f6518e5f6292_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3247</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Artificial Hearing: From Ear Drums to Tuning Forks</itunes:title>
                <title>Artificial Hearing: From Ear Drums to Tuning Forks</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>Dr. <a href="https://www.uni-ulm.de/in/fns/institut/mitarbeiter-innen/professoren/claudia-lenk/" rel="nofollow">Claudia Lenk’s</a> group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, she talks to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;Dr. &lt;a href=&#34;https://www.uni-ulm.de/in/fns/institut/mitarbeiter-innen/professoren/claudia-lenk/&#34; rel=&#34;nofollow&#34;&gt;Claudia Lenk’s&lt;/a&gt; group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, she talks to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="48861100" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/157e424b-72e0-4ef8-a55f-4ea15f5576b7/stream.mp3"/>
                
                <guid isPermaLink="false">2838dc7b-e3f6-4c39-8014-388ad7a14289</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Tue, 09 Dec 2025 08:52:10 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/12/9/8/3f671b50-9bad-4e61-a50c-dfe50931a61c_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3053</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>A Theoretical Framework for Neuromorphic Technology?</itunes:title>
                <title>A Theoretical Framework for Neuromorphic Technology?</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><a href="https://www.sunnybains.com/" rel="nofollow"><strong>Sunny</strong></a><span> talks to Dr </span><a href="https://www.sandia.gov/ccr/staff/james-bradley-aimone/" rel="nofollow"><strong>Brad Aimone</strong></a><span> from Sandia National Laboratories who works with the world’s biggest neuromorphic platforms. He explains how this allows him to think deeply about what such platforms are good for and how we might be able to get to a theory of neuromorphic computational power. After the interview, discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow"><strong>Giulia</strong></a><span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow"><strong>Ralph</strong></a><span>.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Sunny&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; talks to Dr &lt;/span&gt;&lt;a href=&#34;https://www.sandia.gov/ccr/staff/james-bradley-aimone/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Brad Aimone&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; from Sandia National Laboratories who works with the world’s biggest neuromorphic platforms. He explains how this allows him to think deeply about what such platforms are good for and how we might be able to get to a theory of neuromorphic computational power. After the interview, discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Giulia&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Ralph&lt;/strong&gt;&lt;/a&gt;&lt;span&gt;.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="52423366" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/cb5d4876-ab60-4e01-a963-0ed7e3d6ef39/stream.mp3"/>
                
                <guid isPermaLink="false">b67f180d-7f01-4fdf-af07-391cbb5a0b68</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 07 Nov 2025 11:26:40 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/11/7/11/7de9a90d-d216-47f4-9045-2f84756faf79_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3276</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Neurons Close the Loop from Insect Perception to Action</itunes:title>
                <title>Neurons Close the Loop from Insect Perception to Action</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><a href="https://www.sunnybains.com/" rel="nofollow"><strong>Sunny</strong></a><span> talks to Prof </span><a href="https://homepages.inf.ed.ac.uk/bwebb/" rel="nofollow"><strong>Barbara Webb</strong></a><span> from the University of Edinburgh in Scotland​, who uses physical robots to validate neural mechanisms in crickets, ants, and bees. She talks about her work inspired by the philosophy that biological cognition can only be truly understood by building complete sensory-motor loops that work in the real world. After the interview, discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow"><strong>Giulia</strong></a><span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow"><strong>Ralph</strong></a><span>.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Sunny&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; talks to Prof &lt;/span&gt;&lt;a href=&#34;https://homepages.inf.ed.ac.uk/bwebb/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Barbara Webb&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; from the University of Edinburgh in Scotland​, who uses physical robots to validate neural mechanisms in crickets, ants, and bees. She talks about her work inspired by the philosophy that biological cognition can only be truly understood by building complete sensory-motor loops that work in the real world. After the interview, discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Giulia&lt;/strong&gt;&lt;/a&gt;&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;&lt;strong&gt;Ralph&lt;/strong&gt;&lt;/a&gt;&lt;span&gt;.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="42482625" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/7067d767-3ee3-445c-8f58-cfe73aff6748/stream.mp3"/>
                
                <guid isPermaLink="false">5c128714-7236-4ccd-b33e-d0451dad31d6</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Sat, 01 Nov 2025 11:18:22 &#43;0000</pubDate>
                <itunes:duration>2655</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?</itunes:title>
                <title>Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the <a href="https://ai.utsa.edu/thor/" rel="nofollow">Neuromorphic Commons</a> hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, he talks to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> of University College London about his approach to making systems that use minimal energy, are highly interconnected at all levels, and are surprisingly flexible. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the &lt;a href=&#34;https://ai.utsa.edu/thor/&#34; rel=&#34;nofollow&#34;&gt;Neuromorphic Commons&lt;/a&gt; hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, he talks to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; of University College London about his approach to making systems that use minimal energy, are highly interconnected at all levels, and are surprisingly flexible. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="47646511" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/cdffbadd-ca77-4c05-b487-aea5fe04347f/stream.mp3"/>
                
                <guid isPermaLink="false">a0dc3d75-98df-4d89-a82a-b3d46da7f448</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 06 Oct 2025 15:38:57 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/10/6/15/15cb8d26-6aa3-437e-848b-00b7009d3dfe_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2977</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Event-Driven E-Skins Protect Both Robots and Humans</itunes:title>
                <title>Event-Driven E-Skins Protect Both Robots and Humans</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, he talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of University College London about how the skin was designed, how it improves safety, and why neuromorphic engineering will be important for machine autonomy. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, he talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of University College London about how the skin was designed, how it improves safety, and why neuromorphic engineering will be important for machine autonomy. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="44830302" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/ab5d072c-4102-431e-b183-67e9a4a6dbc3/stream.mp3"/>
                
                <guid isPermaLink="false">ded8e9ed-4f9e-4ed9-9efc-0ef129e8bd3e</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 11 Aug 2025 08:07:40 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/8/11/7/d08a5632-a84e-4cdf-9601-9f7682f7f811_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2801</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Digital Prototypes May Enable Analog Neuromorphic Chips</itunes:title>
                <title>Digital Prototypes May Enable Analog Neuromorphic Chips</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>Dr. Charlotte Frenkel from the Technical University of Delft set records with a low-power neuromorphic chip she designed as part of her Ph.D. In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, she talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of University College London about what she has learned about building simplicity into chips and integrity into benchmarks. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;Dr. Charlotte Frenkel from the Technical University of Delft set records with a low-power neuromorphic chip she designed as part of her Ph.D. In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, she talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of University College London about what she has learned about building simplicity into chips and integrity into benchmarks. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="49623875" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/150060ad-e8c9-47e3-9d45-9899bfa4b777/stream.mp3"/>
                
                <guid isPermaLink="false">9fab0ca3-852b-4bc7-aea2-4ec103745c5f</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Thu, 10 Jul 2025 23:06:11 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/7/10/22/b277f356-0aba-47ed-8a81-071e85a4e5c4_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3101</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>IBM Used Mathematics as Compass on Journey to NorthPole</itunes:title>
                <title>IBM Used Mathematics as Compass on Journey to NorthPole</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><a href="https://research.ibm.com/people/dharmendra-modha" rel="nofollow">Dharmendra Modha</a><span>’s TrueNorth chip added the word neuromorphic to the technorati lexicon back in 2014. In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, he talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of University College London about how that project led to his work on NorthPole and the axiomatic approach he took to design. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;a href=&#34;https://research.ibm.com/people/dharmendra-modha&#34; rel=&#34;nofollow&#34;&gt;Dharmendra Modha&lt;/a&gt;&lt;span&gt;’s TrueNorth chip added the word neuromorphic to the technorati lexicon back in 2014. In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, he talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of University College London about how that project led to his work on NorthPole and the axiomatic approach he took to design. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="46988643" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/baf06127-6c67-466c-9116-7b561ed5cf38/stream.mp3"/>
                
                <guid isPermaLink="false">fab1680d-6bdb-400e-ae75-ddcc14eaaa77</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Sat, 07 Jun 2025 08:11:04 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/6/7/8/8670b193-8bf7-4be2-aacb-d10164985953_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2936</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Rippling Signals May Provide Working Memory in the Brain</itunes:title>
                <title>Rippling Signals May Provide Working Memory in the Brain</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>For 50 years Dr. </span><a href="https://www.salk.edu/scientist/terrence-sejnowski/" rel="nofollow">Terry Sejnowski</a><span> has modelled the brain and used his insights to help inform AI. In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, he talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of the University College London about how information flows </span><em>both</em><span> ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;For 50 years Dr. &lt;/span&gt;&lt;a href=&#34;https://www.salk.edu/scientist/terrence-sejnowski/&#34; rel=&#34;nofollow&#34;&gt;Terry Sejnowski&lt;/a&gt;&lt;span&gt; has modelled the brain and used his insights to help inform AI. In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, he talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of the University College London about how information flows &lt;/span&gt;&lt;em&gt;both&lt;/em&gt;&lt;span&gt; ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="48207830" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/01c1e32e-7961-4a47-937d-4bf4ad1d2eb5/stream.mp3"/>
                
                <guid isPermaLink="false">9ab1f743-0815-4e64-9e3a-521cf53dbac9</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 05 May 2025 06:53:57 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/5/5/6/ffef0738-8fd4-437e-b981-1f5c0378b9cc_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>3012</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Making Analog Chip Designs Without Analog Designers</itunes:title>
                <title>Making Analog Chip Designs Without Analog Designers</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>Dr. </span><a href="https://ece.gatech.edu/directory/jennifer-olson-hasler" rel="nofollow">Jennifer Hasler</a><span> of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, she talks about the importance of, and progress in, analog electronics for AI with Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of the University College London. Discussion follows with Dr .</span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;Dr. &lt;/span&gt;&lt;a href=&#34;https://ece.gatech.edu/directory/jennifer-olson-hasler&#34; rel=&#34;nofollow&#34;&gt;Jennifer Hasler&lt;/a&gt;&lt;span&gt; of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, she talks about the importance of, and progress in, analog electronics for AI with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of the University College London. Discussion follows with Dr .&lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="45430073" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/8a641329-5b9d-4be1-ad7d-c3fbd925f1f4/stream.mp3"/>
                
                <guid isPermaLink="false">90fb6847-cd4b-447a-8635-b5cd25946344</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Sun, 06 Apr 2025 10:01:16 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/4/6/9/aa048466-8282-407f-b0fc-6c5ced8307e4_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2839</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>BrainChip’s IP for Targeting AI Applications at the Edge</itunes:title>
                <title>BrainChip’s IP for Targeting AI Applications at the Edge</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>Tony Lewis, CTO for BrainChip, and four other key scientists talk to </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of the University College London. They discuss their business strategy, their temporal event-based neural network (TENN), and the next iteration of the Akida chip. Discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;Tony Lewis, CTO for BrainChip, and four other key scientists talk to &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of the University College London. They discuss their business strategy, their temporal event-based neural network (TENN), and the next iteration of the Akida chip. Discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="44214230" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/1391e854-6a27-4ad1-b3e5-bebb67e60e7c/stream.mp3"/>
                
                <guid isPermaLink="false">c9b1d7d1-44ac-4c32-9639-5f49408d8c0d</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Sun, 09 Mar 2025 14:46:04 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/3/9/14/12394106-46a2-42de-9f5d-4cfd63f05a9e_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2763</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Robots Need Physical, Not Just Artificial, Intelligence</itunes:title>
                <title>Robots Need Physical, Not Just Artificial, Intelligence</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of Brains and Machines, emeritus Professor </span><a href="https://rodneybrooks.com/" rel="nofollow">Rodney Brooks</a><span> of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of University College London. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of Brains and Machines, emeritus Professor &lt;/span&gt;&lt;a href=&#34;https://rodneybrooks.com/&#34; rel=&#34;nofollow&#34;&gt;Rodney Brooks&lt;/a&gt;&lt;span&gt; of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of University College London. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="45703418" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/652405a7-444f-4c52-892d-1dfcad7d783c/stream.mp3"/>
                
                <guid isPermaLink="false">af5e1c03-ff00-4b6b-a496-8e5311525fc4</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Tue, 04 Feb 2025 08:32:42 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/2/4/8/268668b5-b46f-41f8-95ba-a2e31a2a5d4b_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2856</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Embracing the Efficiency of the Neuromorphic Hairball</itunes:title>
                <title>Embracing the Efficiency of the Neuromorphic Hairball</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this new episode of Brains and Machines, Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to Dr. </span><span> </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> of University College London. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the Czech Technical University in Prague and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this new episode of Brains and Machines, Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to Dr. &lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; of University College London. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the Czech Technical University in Prague and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="44917655" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/9fd925ea-99fc-4433-9603-7b58d5812b18/stream.mp3"/>
                
                <guid isPermaLink="false">830de57f-8477-4cb2-b56a-98cafe04774e</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Sun, 05 Jan 2025 16:31:04 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2025/1/5/16/c2aff54e-3b41-49ac-ab79-90be424fb306_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2807</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Chip Combines Analog and Digital Neurons for Sensor Data</itunes:title>
                <title>Chip Combines Analog and Digital Neurons for Sensor Data</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of Brains and Machines, UCL’s </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> </span><span>talks to four key figures at </span><a href="https://innatera.com/" rel="nofollow">Innatera</a>,<span> a spin out from the University of Delft in the Netherlands: Dr Petrut Bogdan, Neuromorphic Architect; Dr Amir Zjajo, Chief Scientific Officer; Vasile Toma, Vice President for Engineering; and Dr Sumeet Kumar, Chief Executive Officer. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. </span><span>Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> Marie Curie Fellow at The Czech Technical University in Prague, and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of Brains and Machines, UCL’s &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; &lt;/span&gt;&lt;span&gt;talks to four key figures at &lt;/span&gt;&lt;a href=&#34;https://innatera.com/&#34; rel=&#34;nofollow&#34;&gt;Innatera&lt;/a&gt;,&lt;span&gt; a spin out from the University of Delft in the Netherlands: Dr Petrut Bogdan, Neuromorphic Architect; Dr Amir Zjajo, Chief Scientific Officer; Vasile Toma, Vice President for Engineering; and Dr Sumeet Kumar, Chief Executive Officer. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. &lt;/span&gt;&lt;span&gt;Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; Marie Curie Fellow at The Czech Technical University in Prague, and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="45697149" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/161d3d42-034c-4810-9484-28fb4a2db66e/stream.mp3"/>
                
                <guid isPermaLink="false">62d4b924-01ad-4dae-a73e-39d23100affe</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 13 Dec 2024 19:45:34 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/12/13/19/04447a77-fb6d-4ae1-95b6-66e4fbef09fd_brains_and_machines_square_1400.jpg"/>
                <itunes:duration>2856</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Carver Mead Says Neuromorphic Efficiency Can Help AI</itunes:title>
                <title>Carver Mead Says Neuromorphic Efficiency Can Help AI</title>

                
                
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of Brains and Machines, UCL’s <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. <a href="http://www.carvermead.caltech.edu/research.html" rel="nofollow">Carver Mead</a>. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> Marie Curie Fellow at The Czech Technical University in Prague, and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of Brains and Machines, UCL’s &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. &lt;a href=&#34;http://www.carvermead.caltech.edu/research.html&#34; rel=&#34;nofollow&#34;&gt;Carver Mead&lt;/a&gt;. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; Marie Curie Fellow at The Czech Technical University in Prague, and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="62227017" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/be846e55-1cbc-4fa7-973b-b7aa6219a87a/stream.mp3"/>
                
                <guid isPermaLink="false">ac4e49f9-c312-4061-aaf5-f8bf7bf93035</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 08 Nov 2024 14:36:13 &#43;0000</pubDate>
                <itunes:duration>3889</itunes:duration>
                
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Next-Gen Neuromorphic Researchers Look to Future</itunes:title>
                <title>Next-Gen Neuromorphic Researchers Look to Future</title>

                <itunes:episode>19</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this special episode of the </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span> podcast, Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> and Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> talk to four early career researchers: Dr. Kenneth Stewart, a computer scientist at the U.S. Naval Research Laboratory in Washington DC; Dr. Laura Kriener, a postdoctoral researcher at The University of Bern in Switzerland; Jens Pedersen, a Ph.D. student at The Royal Institute of Technology (KTH) in Stockholm, Sweden; and Dr. Fabrizio Ottati, an AI/ML computer architect at NXP Semiconductors in Hamburg, Germany. They discuss learning rules for spiking neural networks, primitives for computations on neuromorphic hardware, and the benefits and drawbacks of neuromorphic engineering.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this special episode of the &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt; podcast, Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; and Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; talk to four early career researchers: Dr. Kenneth Stewart, a computer scientist at the U.S. Naval Research Laboratory in Washington DC; Dr. Laura Kriener, a postdoctoral researcher at The University of Bern in Switzerland; Jens Pedersen, a Ph.D. student at The Royal Institute of Technology (KTH) in Stockholm, Sweden; and Dr. Fabrizio Ottati, an AI/ML computer architect at NXP Semiconductors in Hamburg, Germany. They discuss learning rules for spiking neural networks, primitives for computations on neuromorphic hardware, and the benefits and drawbacks of neuromorphic engineering.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="49659402" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/afe254cd-8e60-46a8-80fe-61b6ab61ba3c/stream.mp3"/>
                
                <guid isPermaLink="false">44b89dd1-f3dc-4669-8984-47714e7e5474</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 31 May 2024 18:24:19 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/bfa23bb0-61dc-4c47-a390-450b0099ee11_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>3103</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/next-gen-neuromorphic-researchers-look-to-future/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>SynSense Research Head Talks Combined Sensing, Processing</itunes:title>
                <title>SynSense Research Head Talks Combined Sensing, Processing</title>

                <itunes:episode>18</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of <a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, Dr. Sunny Bains talks to Dr. Dylan Muir, the head of research at SynSense. They discuss the company’s products, including Speck, Xylo, and Rockpool, some of the design choices that were made to bring these to market, and their recent acquisition of sister company IniVation. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.</p><p><br></p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of &lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, Dr. Sunny Bains talks to Dr. Dylan Muir, the head of research at SynSense. They discuss the company’s products, including Speck, Xylo, and Rockpool, some of the design choices that were made to bring these to market, and their recent acquisition of sister company IniVation. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="43480711" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/d1cdd45e-652e-4a89-adde-7278ab1a6f4c/stream.mp3"/>
                
                <guid isPermaLink="false">53bb28a2-0030-41f8-a71c-eacf79753d1d</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 17 May 2024 18:23:05 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/9214d708-da32-4ea7-8539-632c8c88c044_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2717</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/synsense-research-head-talks-combined-sensing-processing/" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024</itunes:title>
                <title>Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024</title>

                <itunes:episode>17</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of <a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> talks with Professor <a href="https://tu-dresden.de/ing/elektrotechnik/iee/hpsn/die-professur/inhaber?set_language=en" rel="nofollow">Christian Mayr</a> from the Technical University of Dresden, who worked on SpiNNaker with Steve Furber for many years. He is taking that project into the future with SpiNNaker 2, which is mostly built, SpiNNaker 3, which is his next design project, and the startup <a href="https://spinncloud.com/" rel="nofollow">SpiNNcloud</a>. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> Marie Curie Fellow at The Czech Technical University in Prague, and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of &lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; talks with Professor &lt;a href=&#34;https://tu-dresden.de/ing/elektrotechnik/iee/hpsn/die-professur/inhaber?set_language=en&#34; rel=&#34;nofollow&#34;&gt;Christian Mayr&lt;/a&gt; from the Technical University of Dresden, who worked on SpiNNaker with Steve Furber for many years. He is taking that project into the future with SpiNNaker 2, which is mostly built, SpiNNaker 3, which is his next design project, and the startup &lt;a href=&#34;https://spinncloud.com/&#34; rel=&#34;nofollow&#34;&gt;SpiNNcloud&lt;/a&gt;. Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; Marie Curie Fellow at The Czech Technical University in Prague, and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="40643186" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/f702a30a-2f39-4734-8cd8-7ce62ab221da/stream.mp3"/>
                
                <guid isPermaLink="false">e5947117-145b-410b-9ffc-e66c0523f5a4</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 03 May 2024 18:21:27 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/20/7c5b2ba3-6d5e-457e-abda-67cdbb057a88_4-c8b6150ffd31_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2540</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/half-human-scale-spinnaker-2-machine-on-cloud-in-2024/" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Bio-Inspired Networks to Interface With Nervous System</itunes:title>
                <title>Bio-Inspired Networks to Interface With Nervous System</title>

                <itunes:episode>16</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> about neuromorphic circuits for prosthetics, drug delivery, and more. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from </span>the Czech Technical University in Prague<span>, and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; about neuromorphic circuits for prosthetics, drug delivery, and more. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from &lt;/span&gt;the Czech Technical University in Prague&lt;span&gt;, and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="42410736" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/ff7ad22c-38b9-4d80-9287-f0b9f5434143/stream.mp3"/>
                
                <guid isPermaLink="false">4899b5d9-9fbd-4442-bf00-dad3d031d343</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 19 Apr 2024 18:19:59 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/54e5071f-d721-4944-8790-7948b6581b5c_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2650</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/bio-inspired-networks-to-interface-with-nervous-system/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Choosing the Right Technologies for Hybrid AI Chips</itunes:title>
                <title>Choosing the Right Technologies for Hybrid AI Chips</title>

                <itunes:episode>15</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of <a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, Dr. Sunny Bains discusses neuromorphic chips with Dr. Amirreza Yousefzadeh, who most recently worked at imec and the University of Twente. He has a broad background in electronics, starting with digital and then moving into neuromorphic, and he’s spent time both in industry and research. This sets him up neatly to work on hybrid AI SoCs. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of &lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, Dr. Sunny Bains discusses neuromorphic chips with Dr. Amirreza Yousefzadeh, who most recently worked at imec and the University of Twente. He has a broad background in electronics, starting with digital and then moving into neuromorphic, and he’s spent time both in industry and research. This sets him up neatly to work on hybrid AI SoCs. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="49442481" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/aacc8bab-8099-46b6-a354-8116bd736231/stream.mp3"/>
                
                <guid isPermaLink="false">b76fccc7-73bd-4ad8-87d3-44da7d494ab7</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 05 Apr 2024 18:16:15 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/a1f07bc6-8368-42c9-9c6c-cbd33f22ca53_d-312c933704b4_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>3090</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/choosing-the-right-technologies-for-hybrid-ai-chips/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Why Sound Processing Takes Time, Not Just Frequency</itunes:title>
                <title>Why Sound Processing Takes Time, Not Just Frequency</title>

                <itunes:episode>14</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, Professor </span><a href="https://sensors.ini.ch/people/shih-chii-liu" rel="nofollow">Shih-Chii Liu</a><span>, co-director of the Sensors Group at the Institute of Neuroinformatics (INI)—part of both the ETH and the University of Zurich, Switzerland—talks to Brains and Machines host, Dr. </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span>, about neuromorphic cochlea, sparsity and deep networks, and what it will take for the technology to solve real problems in industry. Discussion follows with Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from </span>the Czech Technical University in Prague<span>, and Professor </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, Professor &lt;/span&gt;&lt;a href=&#34;https://sensors.ini.ch/people/shih-chii-liu&#34; rel=&#34;nofollow&#34;&gt;Shih-Chii Liu&lt;/a&gt;&lt;span&gt;, co-director of the Sensors Group at the Institute of Neuroinformatics (INI)—part of both the ETH and the University of Zurich, Switzerland—talks to Brains and Machines host, Dr. &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt;, about neuromorphic cochlea, sparsity and deep networks, and what it will take for the technology to solve real problems in industry. Discussion follows with Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from &lt;/span&gt;the Czech Technical University in Prague&lt;span&gt;, and Professor &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="42807797" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/ee342a1e-41d4-4901-8e3d-422dc9900b18/stream.mp3"/>
                
                <guid isPermaLink="false">9ad6dc54-eddf-4348-b6da-1dd6fd026afe</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 15 Mar 2024 19:15:06 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/b2ef2097-b55e-40c3-8ee5-6e324380cc54_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2675</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/why-sound-processing-takes-time-not-just-frequency/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Algorithms Help Spiking Neural Networks Learn to Learn</itunes:title>
                <title>Algorithms Help Spiking Neural Networks Learn to Learn</title>

                <itunes:episode>13</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of <a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, Professor Emre Neftci, director of the Neuromorphic Software Ecosystems group at the Peter Grünberg Institute (PGI), talks to Brains and Machines host, Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a>. He and his PGI colleagues, part of the Jülich Research Centre in Germany, think about how neurons can be trained and organized to learn in an efficient and brain-inspired way. You’ll hear about his work in making backpropagation compatible with spiking neural networks, dealing with device variability, and one- and few-shot learning.</p><p>Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Fortiss research institute in Munich, and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of &lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, Professor Emre Neftci, director of the Neuromorphic Software Ecosystems group at the Peter Grünberg Institute (PGI), talks to Brains and Machines host, Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;. He and his PGI colleagues, part of the Jülich Research Centre in Germany, think about how neurons can be trained and organized to learn in an efficient and brain-inspired way. You’ll hear about his work in making backpropagation compatible with spiking neural networks, dealing with device variability, and one- and few-shot learning.&lt;/p&gt;&lt;p&gt;Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Fortiss research institute in Munich, and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="42445426" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/8085de32-1d2b-4923-99ea-745da38213fb/stream.mp3"/>
                
                <guid isPermaLink="false">619ac753-6c59-4904-a430-0a90219f84db</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 16 Feb 2024 19:12:58 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/40377023-f6e4-4105-a9ff-4f70e2b80609_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2652</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/helping-spiking-neural-networks-can-learn-to-learn/" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Giving the Humanoid iCub Embodied, Neuromorphic Vision</itunes:title>
                <title>Giving the Humanoid iCub Embodied, Neuromorphic Vision</title>

                <itunes:episode>12</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>Dr. <a href="https://www.iit.it/it/people-details/-/people/chiara-bartolozzi" rel="nofollow">Chiara Bartolozzi</a>, head of the <a href="https://edpr.iit.it/" rel="nofollow">event-driven perception for the robotics</a> group at the Italian Institute for Technology (IIT) in Genoa, develops analog sub-threshold circuits to make bio-inspired brains for robots. Her group focuses on exploiting information from event-driven vision and tactile sensors for cognitive tasks, and she works extensively with iCub: a research platform in the form of a robot child, developed in Italy and used throughout Europe.</p><p>In this episode of <a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a>, you’ll hear her talk to Dr. <a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a> about how neuromorphic technology can be used to implement attention mechanisms, the importance of embodiment, and why we need a solid theory of how neural systems can work together to create intelligence.</p><p>Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague, and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> of Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;Dr. &lt;a href=&#34;https://www.iit.it/it/people-details/-/people/chiara-bartolozzi&#34; rel=&#34;nofollow&#34;&gt;Chiara Bartolozzi&lt;/a&gt;, head of the &lt;a href=&#34;https://edpr.iit.it/&#34; rel=&#34;nofollow&#34;&gt;event-driven perception for the robotics&lt;/a&gt; group at the Italian Institute for Technology (IIT) in Genoa, develops analog sub-threshold circuits to make bio-inspired brains for robots. Her group focuses on exploiting information from event-driven vision and tactile sensors for cognitive tasks, and she works extensively with iCub: a research platform in the form of a robot child, developed in Italy and used throughout Europe.&lt;/p&gt;&lt;p&gt;In this episode of &lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;, you’ll hear her talk to Dr. &lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; about how neuromorphic technology can be used to implement attention mechanisms, the importance of embodiment, and why we need a solid theory of how neural systems can work together to create intelligence.&lt;/p&gt;&lt;p&gt;Discussion follows with Dr. &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague, and Professor &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; of Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="43009671" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/13273a1e-7477-4872-992d-bd430fca8292/stream.mp3"/>
                
                <guid isPermaLink="false">df374cfe-e6e2-453d-a4bc-67eac65e5aee</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 09 Feb 2024 19:11:18 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/8422e591-b1f3-414b-b94d-537ca94240e0_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2688</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/giving-the-humanoid-icub-embodied-neuromorphic-vision/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Tobi Delbrück Talks Caltech, Cameras, and Neural Control</itunes:title>
                <title>Tobi Delbrück Talks Caltech, Cameras, and Neural Control</title>

                <itunes:episode>11</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of the </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span> podcast, </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> talks to </span><a href="https://sensors.ini.ch/people/tobi-delbruck" rel="nofollow">Dr. Tobi Delbrück</a><span>, one of the original neuromorphic engineers from Carver Mead’s team at Caltech. Now a professor at the Institute of Neuroinformatics in Zurich, he has spent his career developing neuromorphic cameras and other technology. In this interview, you’ll find out how he got started in the field, his work developing the dynamic vision sensor (also known as an event camera) and the pros and cons of sparse representations.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of the &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt; podcast, &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; talks to &lt;/span&gt;&lt;a href=&#34;https://sensors.ini.ch/people/tobi-delbruck&#34; rel=&#34;nofollow&#34;&gt;Dr. Tobi Delbrück&lt;/a&gt;&lt;span&gt;, one of the original neuromorphic engineers from Carver Mead’s team at Caltech. Now a professor at the Institute of Neuroinformatics in Zurich, he has spent his career developing neuromorphic cameras and other technology. In this interview, you’ll find out how he got started in the field, his work developing the dynamic vision sensor (also known as an event camera) and the pros and cons of sparse representations.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="42605505" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/5d66d585-899e-4f3d-8bd0-45f1f7770814/stream.mp3"/>
                
                <guid isPermaLink="false">d621caea-c73f-4092-a29c-67cbc5e4b995</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Tue, 30 Jan 2024 19:09:20 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/84618c1a-882e-4cb7-bdba-0bec01880907_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2662</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/tobi-delbruck-talks-caltech-cameras-and-neural-control/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Ferroelectric Memristors and Exotic Materials to Drive AI</itunes:title>
                <title>Ferroelectric Memristors and Exotic Materials to Drive AI</title>

                <itunes:episode>10</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, </span><a href="https://www.sunnybains.com/" rel="nofollow">Sunny Bains</a><span> gets deep into nanoscale ferroelectrics with </span><a href="https://www.rug.nl/staff/b.noheda/" rel="nofollow">Professor Beatriz Noheda</a><span>, director of the Groningen Cognitive Systems and Materials Center (CogniGron). They discuss how this unusual interdisciplinary research center works, why nanoscale ferroelectrics may be useful in brain-like systems, and a little about how they are designed and fabricated.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; gets deep into nanoscale ferroelectrics with &lt;/span&gt;&lt;a href=&#34;https://www.rug.nl/staff/b.noheda/&#34; rel=&#34;nofollow&#34;&gt;Professor Beatriz Noheda&lt;/a&gt;&lt;span&gt;, director of the Groningen Cognitive Systems and Materials Center (CogniGron). They discuss how this unusual interdisciplinary research center works, why nanoscale ferroelectrics may be useful in brain-like systems, and a little about how they are designed and fabricated.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="38388715" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/3919b3c6-7fbe-4916-aa34-74ae19d27042/stream.mp3"/>
                
                <guid isPermaLink="false">1bc6f212-e2c6-405a-bd94-4e1eb10e3f39</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 12 Jan 2024 19:07:35 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/2e8014a9-60c4-465c-bea7-9346785c48fb_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2399</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/ferroelectric-memristors-and-exotic-materials-to-drive-ai/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Perceiving Touch With Event-Based Neuromorphic Computing</itunes:title>
                <title>Perceiving Touch With Event-Based Neuromorphic Computing</title>

                <itunes:episode>9</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of the </span><a href="https://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span> podcast, Dr. Giulia D’Angelo from the Italian Institute of Technology interviews her IIT colleague, Dr. Simeon Bamford, who is currently working on tactile neuromorphic sensors. They talk about creating circuits to perform functions lost to brain damage, Bamford’s involvement with the commercialization of dynamic vision sensors, and his latest research on robotic touch. Discussion follows with Dr. Sunny Bains of University College London, and Prof. Ralph Etienne-Cummings of Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of the &lt;/span&gt;&lt;a href=&#34;https://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt; podcast, Dr. Giulia D’Angelo from the Italian Institute of Technology interviews her IIT colleague, Dr. Simeon Bamford, who is currently working on tactile neuromorphic sensors. They talk about creating circuits to perform functions lost to brain damage, Bamford’s involvement with the commercialization of dynamic vision sensors, and his latest research on robotic touch. Discussion follows with Dr. Sunny Bains of University College London, and Prof. Ralph Etienne-Cummings of Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="41281828" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/b2fdb34b-b7dd-4965-8790-0f92aee5d5f7/stream.mp3"/>
                
                <guid isPermaLink="false">abc6bcce-25e8-42a8-ba13-f6902eb6f90f</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 15 Dec 2023 19:05:49 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/968d249c-3bf0-4131-b21e-d8e6cf2ee9ef_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2580</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/perceiving-touch-with-event-based-neuromorphic-computing/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>How Memristors Will Help Machines Think at Different Timescales</itunes:title>
                <title>How Memristors Will Help Machines Think at Different Timescales</title>

                <itunes:episode>8</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In the latest episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, EE Times regular </span><a href="https://www.sunnybains.com/" rel="nofollow">Dr. Sunny Bains</a><span> talks to </span><a href="https://www.ini.uzh.ch/en/research/groups/EIS/people.html" rel="nofollow">Professor Melika Payvand</a><span>, who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. You’ll find out the role that memristors are playing in the systems she designs, why neural circuits need to operate at different timescales, and why copying some features of biological dendrites could add computational power to silicon brains. Discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Dr. Giulia D’Angelo</a><span> from </span>the Czech Technical University in Prague<span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Professor Ralph Etienne-Cummings</a><span> from Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In the latest episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, EE Times regular &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Dr. Sunny Bains&lt;/a&gt;&lt;span&gt; talks to &lt;/span&gt;&lt;a href=&#34;https://www.ini.uzh.ch/en/research/groups/EIS/people.html&#34; rel=&#34;nofollow&#34;&gt;Professor Melika Payvand&lt;/a&gt;&lt;span&gt;, who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. You’ll find out the role that memristors are playing in the systems she designs, why neural circuits need to operate at different timescales, and why copying some features of biological dendrites could add computational power to silicon brains. Discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Dr. Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from &lt;/span&gt;the Czech Technical University in Prague&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Professor Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; from Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="46127647" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/49b1ea62-afd6-406a-bf97-1fed021ff177/stream.mp3"/>
                
                <guid isPermaLink="false">5b5c8e27-bfde-4585-b8ae-5ff680cf005a</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Tue, 12 Dec 2023 19:04:23 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/239a0385-bb99-408b-ac07-7948ecef1de1_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2882</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/how-memristors-will-help-machines-think-at-different-timescales/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>ARM Inventor Steve Furber on SpiNNaker 1, 2 and Beyond</itunes:title>
                <title>ARM Inventor Steve Furber on SpiNNaker 1, 2 and Beyond</title>

                <itunes:episode>7</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this latest episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, </span><a href="https://www.sunnybains.com/" rel="nofollow">Dr. Sunny Bains</a><span> interviews now-Emeritus </span><a href="http://apt.cs.manchester.ac.uk/people/sfurber/" rel="nofollow">Professor Steve Furber</a><span> as he prepares to leave the University of Manchester. They talk about associative memories, the original SpiNNaker neural simulator designed using densely-interconnected ARM cores, and the new generation of the technology currently being assembled. Discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Dr. Giulia D’Angelo</a><span> from </span>the Czech Technical University in Prague<span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Professor Ralph Etienne-Cummings</a><span> from Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this latest episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Dr. Sunny Bains&lt;/a&gt;&lt;span&gt; interviews now-Emeritus &lt;/span&gt;&lt;a href=&#34;http://apt.cs.manchester.ac.uk/people/sfurber/&#34; rel=&#34;nofollow&#34;&gt;Professor Steve Furber&lt;/a&gt;&lt;span&gt; as he prepares to leave the University of Manchester. They talk about associative memories, the original SpiNNaker neural simulator designed using densely-interconnected ARM cores, and the new generation of the technology currently being assembled. Discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Dr. Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from &lt;/span&gt;the Czech Technical University in Prague&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Professor Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; from Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="41212029" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/f55b6b61-5951-40d9-b42c-f8dd0b31b6fd/stream.mp3"/>
                
                <guid isPermaLink="false">aa7f2a05-30c5-4453-ba97-53983a188de2</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 17 Nov 2023 19:02:40 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/ec9a70b1-aefa-4255-af91-e077fdc52806_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2575</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/arm-inventor-steve-furber-on-spinnaker-1-2-and-beyond/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>How to See ‘Where’ Through Low-Power Event Cameras</itunes:title>
                <title>How to See ‘Where’ Through Low-Power Event Cameras</title>

                <itunes:episode>6</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of the </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span> podcast, Dr. </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a>, from the Czech Technical University in Prague,<span> talks to Professor </span><a href="https://sites.google.com/view/guillermogallego" rel="nofollow">Guillermo Gallego</a><span>, from the Technical University of Berlin. They discuss the application of the new generation of bio-inspired, event-driven cameras and their algorithms to extract cues of motion, depth and optical flow estimation. After that, Giulia discusses the interview with </span><a href="https://www.sunnybains.com/" rel="nofollow">Dr. Sunny Bains</a><span> from the University College London and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Professor Ralph Etienne-Cummings</a><span> from Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of the &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt; podcast, Dr. &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;, from the Czech Technical University in Prague,&lt;span&gt; talks to Professor &lt;/span&gt;&lt;a href=&#34;https://sites.google.com/view/guillermogallego&#34; rel=&#34;nofollow&#34;&gt;Guillermo Gallego&lt;/a&gt;&lt;span&gt;, from the Technical University of Berlin. They discuss the application of the new generation of bio-inspired, event-driven cameras and their algorithms to extract cues of motion, depth and optical flow estimation. After that, Giulia discusses the interview with &lt;/span&gt;&lt;a href=&#34;https://www.sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Dr. Sunny Bains&lt;/a&gt;&lt;span&gt; from the University College London and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Professor Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; from Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="42222654" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/07eb1b21-162a-4dfe-b931-00c6a8a939a3/stream.mp3"/>
                
                <guid isPermaLink="false">41ca1338-70ca-4975-b93f-63fd7df0f6b0</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 27 Oct 2023 18:00:59 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/27278675-c815-400b-9e77-23b48720aaab_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2638</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/how-to-see-where-through-low-power-event-cameras/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Seeing Robotics and Machine Vision as Dynamical Systems</itunes:title>
                <title>Seeing Robotics and Machine Vision as Dynamical Systems</title>

                <itunes:episode>5</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of the <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a> podcast, <a href="http://sunnybains.com/" rel="nofollow">Sunny Bains</a> talks to <a href="https://www.zhaw.ch/en/lsfm/institutes-centres/icls/cognitive-computing-in-life-sciences/research-group-neuromorphic-computing/" rel="nofollow">Dr Yulia Sandamirskaya</a>, who has just created the Neuromorphic Computing Group at Zurich University of Applied Sciences. We discuss the role that dynamical systems theory plays in robotics, her work with Intel’s Loihi platform, and what she plans to do in her new position at ZHAW, particularly related to vision. After that, Sunny discusses the interview with <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> from Johns Hopkins University.</p><p><br></p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of the &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt; podcast, &lt;a href=&#34;http://sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; talks to &lt;a href=&#34;https://www.zhaw.ch/en/lsfm/institutes-centres/icls/cognitive-computing-in-life-sciences/research-group-neuromorphic-computing/&#34; rel=&#34;nofollow&#34;&gt;Dr Yulia Sandamirskaya&lt;/a&gt;, who has just created the Neuromorphic Computing Group at Zurich University of Applied Sciences. We discuss the role that dynamical systems theory plays in robotics, her work with Intel’s Loihi platform, and what she plans to do in her new position at ZHAW, particularly related to vision. After that, Sunny discusses the interview with &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; from Johns Hopkins University.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="44366785" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/b8a82ad6-0e2f-4a18-b0f4-641d0b412894/stream.mp3"/>
                
                <guid isPermaLink="false">85484fb4-e363-41ff-ae28-d86880b70029</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 13 Oct 2023 17:58:54 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/814e414c-b151-49db-999b-56ba8e5e93da_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2772</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/seeing-robotics-and-machine-vision-as-dynamical-systems/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Building Brain-Like Systems from Sub-Threshold Electronics</itunes:title>
                <title>Building Brain-Like Systems from Sub-Threshold Electronics</title>

                <itunes:episode>4</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of the <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a> podcast, EE Times regular <a href="http://sunnybains.com/" rel="nofollow">Sunny Bains</a> talks to <a href="https://www.ini.uzh.ch/en/research/groups/ncs.html" rel="nofollow">Professor Giacomo Indiveri</a>, from the Institute of Neuroinformatics in Zurich. They talk about building biologically-plausible neural circuits in silicon, the trade-offs involved in using analog and digital circuits, and how the technology has been translated into startups. After that, Sunny discusses the interview with <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> from Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of the &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt; podcast, EE Times regular &lt;a href=&#34;http://sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; talks to &lt;a href=&#34;https://www.ini.uzh.ch/en/research/groups/ncs.html&#34; rel=&#34;nofollow&#34;&gt;Professor Giacomo Indiveri&lt;/a&gt;, from the Institute of Neuroinformatics in Zurich. They talk about building biologically-plausible neural circuits in silicon, the trade-offs involved in using analog and digital circuits, and how the technology has been translated into startups. After that, Sunny discusses the interview with &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; from Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="40551235" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/efe1b5ea-f478-437f-b161-411ab7ce34a2/stream.mp3"/>
                
                <guid isPermaLink="false">97f81cb1-d241-4c8d-9c0e-377f7fb739e2</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 06 Oct 2023 17:54:35 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/18/a34b38b6-7d35-4817-8181-fc4962cf4dd1_a-969f282408c7_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2534</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/building-brain-like-systems-from-sub-threshold-electronics/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>Understanding Real Brains with Robotic Rats, and Vice Versa</itunes:title>
                <title>Understanding Real Brains with Robotic Rats, and Vice Versa</title>

                <itunes:episode>3</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p>In this episode of the <a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a> podcast, <a href="http://sunnybains.com/" rel="nofollow">Sunny Bains</a> talks to <a href="https://robotics.northwestern.edu/people/profiles/faculty/hartmann-mitra.html" rel="nofollow">Dr Mitra Hartmann</a>, Professor of both Biomedical and Mechanical Engineering at Northwestern University, and head of their sensory and neural engineering group. They discuss the ways in which modelling animal perceptual systems—in her case, the rat—can make us better at both understanding the brain and building technology. After that, Sunny discusses the interview with <a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a> from the Czech Technical University in Prague and <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a> from Johns Hopkins University.</p>]]></description>
                <content:encoded>&lt;p&gt;In this episode of the &lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt; podcast, &lt;a href=&#34;http://sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt; talks to &lt;a href=&#34;https://robotics.northwestern.edu/people/profiles/faculty/hartmann-mitra.html&#34; rel=&#34;nofollow&#34;&gt;Dr Mitra Hartmann&lt;/a&gt;, Professor of both Biomedical and Mechanical Engineering at Northwestern University, and head of their sensory and neural engineering group. They discuss the ways in which modelling animal perceptual systems—in her case, the rat—can make us better at both understanding the brain and building technology. After that, Sunny discusses the interview with &lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt; from the Czech Technical University in Prague and &lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt; from Johns Hopkins University.&lt;/p&gt;</content:encoded>
                
                <enclosure length="35991301" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/3e6ed8c6-9503-4bbd-8a8e-ef37ce24c647/stream.mp3"/>
                
                <guid isPermaLink="false">b7412c31-fc4f-49e3-83d1-3a73aea3329d</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 25 Sep 2023 17:52:00 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/b04e2a6e-01ce-46fb-955e-d997221e0894_d-a92c7fb26459_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2249</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/understanding-real-brains-with-robotic-rats-and-vice-versa/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>On-Chip Learning is Missing Neuromorphic Building Block</itunes:title>
                <title>On-Chip Learning is Missing Neuromorphic Building Block</title>

                <itunes:episode>2</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this episode of </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span>, </span><a href="http://sunnybains.com/" rel="nofollow">Sunny Bains</a><span> interviews </span><a href="https://www.rug.nl/research/zernike/bio-inspired-circuits-and-systems/chicca-group/?lang=en" rel="nofollow">Elisabetta Chicca</a><span>, head of the bio-inspired Circuits and Systems research group at the University of Groningen, about building neural chips with memristors, adding electronic brains to neural robots, some of the current difficulties with learning algorithms for spiking systems and more. Discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from </span>the Czech Technical University in Prague<span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> from Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this episode of &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt;, &lt;/span&gt;&lt;a href=&#34;http://sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; interviews &lt;/span&gt;&lt;a href=&#34;https://www.rug.nl/research/zernike/bio-inspired-circuits-and-systems/chicca-group/?lang=en&#34; rel=&#34;nofollow&#34;&gt;Elisabetta Chicca&lt;/a&gt;&lt;span&gt;, head of the bio-inspired Circuits and Systems research group at the University of Groningen, about building neural chips with memristors, adding electronic brains to neural robots, some of the current difficulties with learning algorithms for spiking systems and more. Discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from &lt;/span&gt;the Czech Technical University in Prague&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; from Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="40065985" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/17203409-a4b0-4317-acd1-2f2002cc3df0/stream.mp3"/>
                
                <guid isPermaLink="false">b41a63ee-7c41-4bcc-88ff-0e629480bbd5</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Mon, 11 Sep 2023 17:49:08 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/ab0e7fc5-0463-4c59-98f2-a2fe25fa5b39_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2504</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/on-chip-learning-is-missing-neuromorphic-building-block/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
            <item>
                <itunes:episodeType>full</itunes:episodeType>
                <itunes:title>André van Schaik Discusses New Neuromorphic Simulator</itunes:title>
                <title>André van Schaik Discusses New Neuromorphic Simulator</title>

                <itunes:episode>1</itunes:episode>
                <itunes:season>1</itunes:season>
                <itunes:author>Dr Sunny Bains</itunes:author>
                
                <description><![CDATA[<p><span>In this first episode of the </span><a href="http://brainsandmachines.net/" rel="nofollow">Brains and Machines</a><span> podcast, </span><a href="http://sunnybains.com/" rel="nofollow">Sunny Bains</a><span> interviews </span><a href="https://www.westernsydney.edu.au/icns/about/people/researchers/professor_andre_van_schaik" rel="nofollow">André van Schaik</a><span> from the Western Sydney University about how neuromorphic engineering has changed since the early 90s, a new project to help simulate neural and neuromorphic models, and more. Discussion follows with </span><a href="https://www.linkedin.com/in/giuliadangelo/" rel="nofollow">Giulia D’Angelo</a><span> from the </span>Czech Technical University in Prague<span> and </span><a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" rel="nofollow">Ralph Etienne-Cummings</a><span> from Johns Hopkins University.</span></p>]]></description>
                <content:encoded>&lt;p&gt;&lt;span&gt;In this first episode of the &lt;/span&gt;&lt;a href=&#34;http://brainsandmachines.net/&#34; rel=&#34;nofollow&#34;&gt;Brains and Machines&lt;/a&gt;&lt;span&gt; podcast, &lt;/span&gt;&lt;a href=&#34;http://sunnybains.com/&#34; rel=&#34;nofollow&#34;&gt;Sunny Bains&lt;/a&gt;&lt;span&gt; interviews &lt;/span&gt;&lt;a href=&#34;https://www.westernsydney.edu.au/icns/about/people/researchers/professor_andre_van_schaik&#34; rel=&#34;nofollow&#34;&gt;André van Schaik&lt;/a&gt;&lt;span&gt; from the Western Sydney University about how neuromorphic engineering has changed since the early 90s, a new project to help simulate neural and neuromorphic models, and more. Discussion follows with &lt;/span&gt;&lt;a href=&#34;https://www.linkedin.com/in/giuliadangelo/&#34; rel=&#34;nofollow&#34;&gt;Giulia D’Angelo&lt;/a&gt;&lt;span&gt; from the &lt;/span&gt;Czech Technical University in Prague&lt;span&gt; and &lt;/span&gt;&lt;a href=&#34;https://engineering.jhu.edu/faculty/ralph-etienne-cummings/&#34; rel=&#34;nofollow&#34;&gt;Ralph Etienne-Cummings&lt;/a&gt;&lt;span&gt; from Johns Hopkins University.&lt;/span&gt;&lt;/p&gt;</content:encoded>
                
                <enclosure length="44621322" type="audio/mpeg" url="https://audio4.redcircle.com/episodes/a344c058-d8c7-48b6-bd01-1a4ff17b5133/stream.mp3"/>
                
                <guid isPermaLink="false">a7b9e1c4-5b3c-46bd-8913-ca3849d943f2</guid>
                <link>https://brainsandmachines.net/</link>
                <pubDate>Fri, 01 Sep 2023 17:43:44 &#43;0000</pubDate>
                <itunes:image href="https://media.redcircle.com/images/2024/9/17/17/272cc352-c7b4-47fe-8b3d-b4d278ac0f0c_brains_and_machines_square_2048.jpg"/>
                <itunes:duration>2788</itunes:duration>
                <podcast:transcript url="https://www.eetimes.com/podcasts/andre-van-schaik-discusses-new-neuromorphic-simulator/" type="text/html" />
                
                <itunes:explicit>no</itunes:explicit>
                
            </item>
        
    </channel>
</rss>
