Brain Inspired
En podkast av Paul Middlebrooks - Onsdager
155 Episoder
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BI 102 Mark Humphries: What Is It Like To Be A Spike?
Publisert: 16.4.2021 -
BI 101 Steve Potter: Motivating Brains In and Out of Dishes
Publisert: 6.4.2021 -
BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?
Publisert: 28.3.2021 -
BI 100.4 Special: What Ideas Are Holding Us Back?
Publisert: 21.3.2021 -
BI 100.3 Special: Can We Scale Up to AGI with Current Tech?
Publisert: 17.3.2021 -
BI 100.2 Special: What Are the Biggest Challenges and Disagreements?
Publisert: 12.3.2021 -
BI 100.1 Special: What Has Improved Your Career or Well-being?
Publisert: 9.3.2021 -
BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness
Publisert: 28.2.2021 -
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
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.
