Friston’s Law is Proven- Free Energy Principle Explains How Neurons Learn

1st Published August 15, 2023 - Friston’s Law is Proven- FEP Explains How Neurons Learn, written & narrated by Denise Holt. #ActiveInference #FreeEnergyPrinciple #KarlFriston

Dr. Karl J. Friston, the Chief Scientist at VERSES AI, has developed a new kind of AI called Active Inference AI based on the Free Energy Principle (FEP). Researchers in Japan have proven that Friston's theory explains how the brain learns through self-organization and predictive modeling. This breakthrough has significant implications for neuroscience and AI research, as it offers a more sustainable, interpretable, and programmable approach to artificial intelligence. The combination of Active Inference AI, the Free Energy Principle, and the Spatial Web Protocol lays the foundation for a unified system of distributed collective intelligence that mimics biological intelligence. By understanding how brains handle perception and learning through Bayesian inference, researchers hope to achieve AGI or ASI in machines. VERSES AI is leading this revolutionary work in the field of artificial intelligence.

Chapters:

00:00 - Introduction

00:59 - AI Research Challenges

02:03 - Dr. Karl Friston's Work with VERSES AI

03:02 - The Free Energy Principle

04:20 - Brain's Perceptual Mechanism

05:34 - Neural Network Inference

06:49 - Experimental Validation in Neuronal Networks

08:07 - AI and the Free Energy Principle

09:03 - The Future of AI with VERSES AI

10:10 - Conclusion and Further Resources

Read the full article here: https://deniseholt.us/fristons-ai-law-is-proven-fep-explains-how-neurons-learn

Check out all the videos in this series on our Knowledge Bank Playlist: https://youtube.com/playlist?list=PLv0h9xFwpMaLumek-HwbuP-jpAfmSWW55

Learn more on the SpatialWebAI blog - https://deniseholt.us

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#artificialintelligence #ActiveInference #FreeEnergyPrinciple #KarlFriston #VERSES #aigovernance