Tag: Free Energy Principle

Exclusive: Dr. Karl Friston Unveils Cutting-Edge Active Inference AI Research at IWAI

Denise Holt, reporting LIVE from IWAI 2023. In this groundbreaking video, Dr. Friston unveils his latest research on Active Inference, shedding light on its potential as a systematic blueprint for Artificial General Intelligence (AGI). Watch as Friston and his VERSES team pioneer a new kind of AI that mimics biological intelligence, making any data ‘smart’.

Beyond LLMs: Mahault Albarracin on How Active Inference Gives AI a Sense of Self in the World

On November 20,2023, host Denise Holt was joined by Mahault Albarracin, Director of Product for Research and Innovations at VERSES AI, in a recent episode of the Spatial Web AI Podcast for a deep dive into the intricacies of Active Inference AI and its implications for the future of artificial intelligence.

Navigating the AI Revolution with Dr. Jacques Ludik: Insights on Active Inference, Ethics,and AI’s Societal Impact

Join our conversation in this episode of the Spatial Web AI Podcast, where host Denise Holt engages with Dr. Jacques Ludik, a renowned global AI expert, smart tech entrepreneur, founder of multiple AI companies, and best-selling author, as they dive into a myriad of topics encompassing AI’s future, its ethical implications, and its transformative impact on society. Explore the intricacies of neural networks and Active Inference AI, discussing the broader societal implications of AI, including its role in empathy, privacy, and AI governance.

Special Guest: Professor Bert De Vries | Active Inference & First Principles AI

Explore the fascinating world of Active Inference AI and the Free Energy Principle developed by Dr. Karl Friston in this episode of the Spatial Web AI Podcast, as host, Denise Holt, welcomes Dr. Bert De Vries, Professor at Eindhoven University of Technology. #ActiveInference
Discover how the Active Inference approach to AI follows the principle of least action and describes how information processing occurs in biological systems like the brain.

Revolutionary AI Whitepaper Validated by New Neuroscience Breakthrough

In December 2022, VERSES AI set forth a sweeping vision for artificial intelligence based on a distributed, collective real-time knowledge graph, comprised of Intelligent Agents operating on the physics of intelligence itself. In their whitepaper, titled “Designing Ecosystems of Intelligence from First Principles,” they propose a profound departure from standard notions of AI as a monolithic system. This groundbreaking new artificial intelligence paradigm is gaining momentum, thanks to a major discovery proving its underlying scientific theory – the Free Energy Principle (FEP) by the world’s most cited neuroscientist, Dr. Karl J. Friston.

Friston’s AI Law is Proven: FEP Explains How Neurons Learn

Dr. Karl J. Friston is the most cited neuroscientist in the world, celebrated for his work in brain imaging and physics inspired brain theory. He also happens to be the Chief Scientist at VERSES AI, working on an entirely new kind of AI called Active Inference AI, based on the Free Energy Principle (FEP) — Karl’s theory that has just been proven by researchers in Japan to explain how the brain learns.

“Our results suggest that the free-energy principle is the self-organizing principle of biological neural networks.”
– Takuya Isomura, RIKEN

Active Inference: Pioneering a New Era of Artificial Intelligence with Daniel Friedman

I recently sat down with Daniel Friedman, president of the Active Inference Institute. The insights from this conversation promise to shine a light on the curious realm of active inference and its potential to reshape our understanding of decision-making processes and the future of AI.