Brain Inspired
En podkast av Paul Middlebrooks
Kategorier:
127 Episoder
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BI 167 Panayiota Poirazi: AI Brains Need Dendrites
Publisert: 27.5.2023 -
BI 166 Nick Enfield: Language vs. Reality
Publisert: 9.5.2023 -
BI 165 Jeffrey Bowers: Psychology Gets No Respect
Publisert: 12.4.2023 -
BI 164 Gary Lupyan: How Language Affects Thought
Publisert: 1.4.2023 -
BI 163 Ellie Pavlick: The Mind of a Language Model
Publisert: 20.3.2023 -
BI 162 Earl K. Miller: Thoughts are an Emergent Property
Publisert: 8.3.2023 -
BI 161 Hugo Spiers: Navigation and Spatial Cognition
Publisert: 24.2.2023 -
BI 160 Ole Jensen: Rhythms of Cognition
Publisert: 7.2.2023 -
BI 159 Chris Summerfield: Natural General Intelligence
Publisert: 26.1.2023 -
BI 158 Paul Rosenbloom: Cognitive Architectures
Publisert: 16.1.2023 -
BI 157 Sarah Robins: Philosophy of Memory
Publisert: 2.1.2023 -
BI 156 Mariam Aly: Memory, Attention, and Perception
Publisert: 23.12.2022 -
BI 155 Luiz Pessoa: The Entangled Brain
Publisert: 10.12.2022 -
BI 154 Anne Collins: Learning with Working Memory
Publisert: 29.11.2022 -
BI 153 Carolyn Dicey-Jennings: Attention and the Self
Publisert: 18.11.2022 -
BI 152 Michael L. Anderson: After Phrenology: Neural Reuse
Publisert: 8.11.2022 -
BI 151 Steve Byrnes: Brain-like AGI Safety
Publisert: 30.10.2022 -
BI 150 Dan Nicholson: Machines, Organisms, Processes
Publisert: 15.10.2022 -
BI 149 William B. Miller: Cell Intelligence
Publisert: 5.10.2022 -
BI 148 Gaute Einevoll: Brain Simulations
Publisert: 25.9.2022
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.
