Brain Inspired
En podkast av Paul Middlebrooks
Kategorier:
127 Episoder
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BI 098 Brian Christian: The Alignment Problem
Publisert: 18.2.2021 -
BI 097 Omri Barak and David Sussillo: Dynamics and Structure
Publisert: 8.2.2021 -
BI 096 Keisuke Fukuda and Josh Cosman: Forking Paths
Publisert: 29.1.2021 -
BI 095 Chris Summerfield and Sam Gershman: Neuro for AI?
Publisert: 19.1.2021 -
BI 094 Alison Gopnik: Child-Inspired AI
Publisert: 8.1.2021 -
BI 093 Dileep George: Inference in Brain Microcircuits
Publisert: 29.12.2020 -
BI 092 Russ Poldrack: Cognitive Ontologies
Publisert: 15.12.2020 -
BI 091 Carsen Stringer: Understanding 40,000 Neurons
Publisert: 4.12.2020 -
BI 090 Chris Eliasmith: Building the Human Brain
Publisert: 23.11.2020 -
BI 089 Matt Smith: Drifting Cognition
Publisert: 12.11.2020 -
BI 088 Randy O’Reilly: Simulating the Human Brain
Publisert: 2.11.2020 -
BI 087 Dileep George: Cloning for Cognitive Maps
Publisert: 23.10.2020 -
BI 086 Ken Stanley: Open-Endedness
Publisert: 12.10.2020 -
BI 085 Ida Momennejad: Learning Representations
Publisert: 30.9.2020 -
BI 084 György Buzsáki and David Poeppel
Publisert: 15.9.2020 -
BI 083 Jane Wang: Evolving Altruism in AI
Publisert: 5.9.2020 -
BI 082 Steve Grossberg: Adaptive Resonance Theory
Publisert: 26.8.2020 -
BI 081 Pieter Roelfsema: Brain-propagation
Publisert: 16.8.2020 -
BI 080 Daeyeol Lee: Birth of Intelligence
Publisert: 6.8.2020 -
BI 079 Romain Brette: The Coding Brain Metaphor
Publisert: 27.7.2020
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.
