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Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282

Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282

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


Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282

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

ratings:
Length:
26 minutes
Released:
Jul 15, 2019
Format:
Podcast episode

Description

Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. Michael joined us back at NeurIPS to discuss his invited talk “What Bodies Think About: Bioelectric Computation Beyond the Nervous System as Inspiration for New Machine Learning Platforms.” In our conversation, we talk about: Synthetic living machines, novel AI architectures and brain-body plasticity How our DNA doesn’t control everything like we thought and how the behavior of cells in living organisms can be modified and adapted Biological systems dynamic remodeling in the future of developmental biology and regenerative medicine...and more! The complete show notes for this episode can be found at twimlai.com/talk/282.  Register for TWIMLcon: AI Platforms now at twimlcon.com!
Released:
Jul 15, 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.