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Hidden Layers: Exploring the People and Technology Behind AI
Episode 10: How Active Inference is Bridging Neuroscience and AI with Dr. Sanjeev Namjoshi
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
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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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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode