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BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

FromBrain Inspired


BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

FromBrain Inspired

ratings:
Length:
80 minutes
Released:
Dec 11, 2018
Format:
Podcast episode

Description

 
 

 
Show notes:

DeepMind.
The papers we discuss:

Neuroscience-Inspired Artificial Intelligence.
A nice summary of the meta-reinforcement learning work.
Learning to reinforcement learn.
Prefrontal cortex as a meta-reinforcement learning system.
Machine Theory of Mind.


Reinforcement learning.
Released:
Dec 11, 2018
Format:
Podcast episode

Titles in the series (100)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.