Brain Inspired
Een podcast door Paul Middlebrooks - Woensdagen
155 Afleveringen
-
BI 115 Steve Grossberg: Conscious Mind, Resonant Brain
Gepubliceerd: 2-10-2021 -
BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind
Gepubliceerd: 22-9-2021 -
BI 113 David Barack and John Krakauer: Two Views On Cognition
Gepubliceerd: 12-9-2021 -
BI ViDA Panel Discussion: Deep RL and Dopamine
Gepubliceerd: 2-9-2021 -
BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine
Gepubliceerd: 26-8-2021 -
BI NMA 06: Advancing Neuro Deep Learning Panel
Gepubliceerd: 19-8-2021 -
BI NMA 05: NLP and Generative Models Panel
Gepubliceerd: 13-8-2021 -
BI NMA 04: Deep Learning Basics Panel
Gepubliceerd: 6-8-2021 -
BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
Gepubliceerd: 28-7-2021 -
BI NMA 03: Stochastic Processes Panel
Gepubliceerd: 22-7-2021 -
BI NMA 02: Dynamical Systems Panel
Gepubliceerd: 15-7-2021 -
BI NMA 01: Machine Learning Panel
Gepubliceerd: 12-7-2021 -
BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
Gepubliceerd: 6-7-2021 -
BI 109 Mark Bickhard: Interactivism
Gepubliceerd: 26-6-2021 -
BI 108 Grace Lindsay: Models of the Mind
Gepubliceerd: 16-6-2021 -
BI 107 Steve Fleming: Know Thyself
Gepubliceerd: 6-6-2021 -
BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity
Gepubliceerd: 27-5-2021 -
BI 105 Sanjeev Arora: Off the Convex Path
Gepubliceerd: 17-5-2021 -
BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
Gepubliceerd: 7-5-2021 -
BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
Gepubliceerd: 26-4-2021
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.
