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Hidden Layers: AI and the People Behind It

How Active Inference is Bridging Neuroscience and AI with Dr. Sanjeev Namjoshi | EP.10

Feb 28, 2024
Delve into neuroscience and AI with Dr. Sanjeev Namjoshi as they discuss active inference and the free energy principle. Explore the brain's role as a generative model, the efficiency of active inference over deep learning, and the future of AI automation in daily tasks.
40:58

Podcast summary created with Snipd AI

Quick takeaways

  • Active inference combines neuroscience and AI, using generative models for outcome predictions and free energy minimization.
  • The Free Energy Principle underlies active inference, utilizing Bayesian inference for optimizing decision making and evolves into Bayesian Mechanics.

Deep dives

Active Inference and the Free Energy Principle

Active inference, a field of computational neuroscience by Dr. Carl Friston, is about behavior from a Bayesian inference standpoint, incorporating neurobiology. It's not purely computational but grounded in biology. The brain makes predictions to minimize surprises, linking to humor and curiosity. Active inference involves predictive coding, signaling expectations meet incoming sensory inputs, guiding decisions.

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