Brain Inspired
Un podcast de Paul Middlebrooks - Les mercredis
166 Épisodes
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BI 166 Nick Enfield: Language vs. Reality
Publié: 09/05/2023 -
BI 165 Jeffrey Bowers: Psychology Gets No Respect
Publié: 12/04/2023 -
BI 164 Gary Lupyan: How Language Affects Thought
Publié: 01/04/2023 -
BI 163 Ellie Pavlick: The Mind of a Language Model
Publié: 20/03/2023 -
BI 162 Earl K. Miller: Thoughts are an Emergent Property
Publié: 08/03/2023 -
BI 161 Hugo Spiers: Navigation and Spatial Cognition
Publié: 24/02/2023 -
BI 160 Ole Jensen: Rhythms of Cognition
Publié: 07/02/2023 -
BI 159 Chris Summerfield: Natural General Intelligence
Publié: 26/01/2023 -
BI 158 Paul Rosenbloom: Cognitive Architectures
Publié: 16/01/2023 -
BI 157 Sarah Robins: Philosophy of Memory
Publié: 02/01/2023 -
BI 156 Mariam Aly: Memory, Attention, and Perception
Publié: 23/12/2022 -
BI 155 Luiz Pessoa: The Entangled Brain
Publié: 10/12/2022 -
BI 154 Anne Collins: Learning with Working Memory
Publié: 29/11/2022 -
BI 153 Carolyn Dicey-Jennings: Attention and the Self
Publié: 18/11/2022 -
BI 152 Michael L. Anderson: After Phrenology: Neural Reuse
Publié: 08/11/2022 -
BI 151 Steve Byrnes: Brain-like AGI Safety
Publié: 30/10/2022 -
BI 150 Dan Nicholson: Machines, Organisms, Processes
Publié: 15/10/2022 -
BI 149 William B. Miller: Cell Intelligence
Publié: 05/10/2022 -
BI 148 Gaute Einevoll: Brain Simulations
Publié: 25/09/2022 -
BI 147 Noah Hutton: In Silico
Publié: 13/09/2022
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.
