Brad Aimone's guest appearances

Brad Aimone

IEEE Brain

Brain Inspired

James FitzGerald

Jessica Thompson

David Rosen

Ryan Poplin

Blake Richards

Terrence Sejnowski

David Ferrucci

Raia Hadsell

Melanie Mitchell

Matt Smith

Alison Gopnik

Brian Christian

Robert Wilson

Anil Seth

Jeff Hawkins

OwlTail

In partnership with IEEE Electron Devices Society. IEEE Brain Podcast Series special episode with Dr. Brad Aimone, a leading researcher in neuromorphic computing at the Center for Computing Research, Sandia National Laboratories. Dr. Aimone discusses his work with computational and theoretical neuroscience, focused on bridging the gap between next-gen computing technology and neuroscience.

Episode 26: Q&A with Brad Aimone, Sandia National Labs

This is part 2 of my conversation with Brad (listen to part 1 here). We discuss how Moore’s law is on its last legs, and his ideas for how neuroscience - in particular neural algorithms -  may help computing continue to scale in a post-Moore’s law world. We also discuss neuromporphics in general, and more. Brad's homepage.Follow Brad on Twitter: @jbimaknee.The paper we discuss:Neural Algorithms and Computing Beyond Moore's Law.Check out the Neuro Inspired Computing Elements (NICE) workshop - lots of great talks and panel discussions.

This is part 2 of my conversation with Brad (<a href="https://braininspired.co/podcast/41/" rel="nofollow" target="_blank">listen to part 1 here</a>). We discuss how Moore’s law is on its last legs, and his ideas for how neuroscience - in particular neural algorithms - may help computing continue to scale in a post-Moore’s law world. We also discuss neuromporphics in general, and more. <ul><li>Brad's <a href="https://sites.google.com/site/bradaimone/Home/" rel="nofollow" target="_blank">homepage</a>.</li><li>Follow Brad on Twitter: <a href="https://twitter.com/jbimaknee" rel="nofollow" target="_blank">@jbimaknee</a>.</li><li>The paper we discuss:<ul><li><a href="https://cacm.acm.org/magazines/2019/4/235577-neural-algorithms-and-computing-beyond-moores-law/fulltext" rel="nofollow" target="_blank">Neural Algorithms and Computing Beyond Moore's Law</a>.</li></ul></li><li>Check out the <a href="https://niceworkshop.org/" rel="nofollow" target="_blank">Neuro Inspired Computing Elements (NICE)</a> workshop - lots of great talks and panel discussions.</li></ul>

BI 042 Brad Aimone: Brains at the Funeral of Moore’s Law

In this first part of our discussion, Brad and I discuss the state of neuromorphics and its relation to neuroscience and artificial intelligence.  He describes his work adding new neurons to deep learning networks during training, called neurogenesis deep learning, inspired by how neurogenesis in the dentate gyrus of the hippocampus helps learn new things while keeping previous memories intact. We also talk about his method to transform deep learning networks into spiking neural networks so they can run on neuromorphic hardware, and the neuromorphics workshop he puts on every year, the Neuro Inspired Computational Elements (NICE) workshop. Show Notes: Brad's homepage.Follow Brad on Twitter: @jbimaknee.The papers we discuss:Computational Influence of Adult Neurogenesis on Memory Encoding.Neurogenesis Deep Learning.Training deep neural networks for binary communication with the Whetstone method.And here's the arXiv version.Check out the Neuro Inspired Computing Elements (NICE) workshop - lots of great talks and panel discussions.

In this first part of our discussion, Brad and I discuss the state of neuromorphics and its relation to neuroscience and artificial intelligence.  He describes his work adding new neurons to deep learning networks during training, called neurogenesis deep learning, inspired by how neurogenesis in the dentate gyrus of the hippocampus helps learn new things while keeping previous memories intact. We also talk about his method to transform deep learning networks into spiking neural networks so they can run on neuromorphic hardware, and the neuromorphics workshop he puts on every year, the Neuro Inspired Computational Elements (NICE) workshop. Show Notes: <ul><li>Brad's <a href="https://sites.google.com/site/bradaimone/Home/" rel="nofollow" target="_blank">homepage</a>.</li><li>Follow Brad on Twitter: <a href="https://twitter.com/jbimaknee" rel="nofollow" target="_blank">@jbimaknee</a>.</li><li>The papers we discuss:<ul><li><a href="https://www.cell.com/neuron/fulltext/S0896-6273(08)01019-2" rel="nofollow" target="_blank">Computational Influence of Adult Neurogenesis on Memory Encoding.</a></li><li><a href="https://arxiv.org/abs/1612.03770" rel="nofollow" target="_blank">Neurogenesis Deep Learning</a>.</li><li><a href="https://www.nature.com/articles/s42256-018-0015-y" rel="nofollow" target="_blank">Training deep neural networks for binary communication with the Whetstone method.</a><ul><li>And here's the <a href="https://arxiv.org/abs/1810.11521" rel="nofollow" target="_blank">arXiv version</a>.</li></ul></li></ul></li><li>Check out the <a href="https://niceworkshop.org/" rel="nofollow" target="_blank">Neuro Inspired Computing Elements (NICE)</a> workshop - lots of great talks and panel discussions.</li></ul>

BI 041 Brad Aimone: Neurogenesis and Spiking in Deep Nets