Brain Inspired
En podkast av Paul Middlebrooks
Kategorier:
127 Episoder
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BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
Publisert: 28.7.2021 -
BI NMA 03: Stochastic Processes Panel
Publisert: 22.7.2021 -
BI NMA 02: Dynamical Systems Panel
Publisert: 15.7.2021 -
BI NMA 01: Machine Learning Panel
Publisert: 12.7.2021 -
BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
Publisert: 6.7.2021 -
BI 109 Mark Bickhard: Interactivism
Publisert: 26.6.2021 -
BI 108 Grace Lindsay: Models of the Mind
Publisert: 16.6.2021 -
BI 107 Steve Fleming: Know Thyself
Publisert: 6.6.2021 -
BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity
Publisert: 27.5.2021 -
BI 105 Sanjeev Arora: Off the Convex Path
Publisert: 17.5.2021 -
BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
Publisert: 7.5.2021 -
BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
Publisert: 26.4.2021 -
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
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.
