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Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
50 minutes
Released:
Nov 14, 2019
Format:
Podcast episode

Description

On today’s episode, we’re joined by Terrence Sejnowski, Francis Crick Chair, head of the Computational Neurobiology Laboratory at the Salk Institute for Biological Studies and faculty member at UC San Diego. In our conversation with Terry, we discuss: His role as a founding researcher in the field of computational neuroscience, and as a founder of the annual Telluride Neuromorphic Cognition Engineering Workshop.  We dive deep into the world of spiking neural networks and brain architecture, the relationship of neuroscience to machine learning, and ways to make NN’s more efficient through spiking.  Terry also gives us some insight into hardware used in this field, characterizes the major research problems currently being undertaken, and the future of spiking networks.  Check out the complete show notes at twimlai.com/talk/317.  
Released:
Nov 14, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.