Brain Inspired
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.
Weitere Folgen
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204 - BI 186 Mazviita Chirimuuta: The Brain AbstractedMon, 25 Mar 2024
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203 - BI 185 Eric Yttri: Orchestrating BehaviorWed, 06 Mar 2024
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202 - BI 184 Peter Stratton: Synthesize Neural PrinciplesTue, 20 Feb 2024
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201 - BI 183 Dan Goodman: Neural ReckoningTue, 06 Feb 2024
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200 - BI 182: John Krakauer Returns… AgainFri, 19 Jan 2024