BI 129 Patryk Laurent: Learning from the Real World
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Patryk and I discuss his wide-ranging background working in both the neuroscience and AI worlds, and his resultant perspective on what's needed to move forward in AI, including some principles of brain processes that are more and less important. We also discuss his own work using some of those principles to help deep learning generalize to better capture how humans behave in and perceive the world.
Patryk's homepage.Twitter: @paklnet.Related papersUnsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network.
0:00 - Intro
2:22 - Patryk's background
8:37 - Importance of diverse skills
16:14 - What is intelligence?
20:34 - Important brain principles
22:36 - Learning from the real world
35:09 - Language models
42:51 - AI contribution to neuroscience
48:22 - Criteria for "real" AI
53:11 - Neuroscience for AI
1:01:20 - What can we ignore about brains?
1:11:45 - Advice to past self
Om Podcasten
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.