Tag: Artificial Intelligence

VERSES AI Demos ‘Genius™’ AI Platform: Pioneering the Future of AI with Active Inference

“What you’re about to see is akin to, I believe, a moment like the launch of the first rocket or the Kitty Hawk moment…So I want you to think about that moment when you first saw something completely new in technology.” 
– Gabriel Rene, CEO VERSES AI

…Artificial intelligence is at a critical juncture in its evolution, and today’s LIVE demonstration of VERSES AI’s “Genius™” AI platform showcases a promising new direction for the field. In this presentation, CEO Gabriel Rene and his team provided a first look at how Genius™ is redefining the future of AI through its innovative approach rooted in Active Inference, First Principles AI, and Shared Intelligence.

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.

VERSES AI Compared to OpenAI | A Conversation With ChatGPT4

In a mere three question conversation with ChatGPT4, the OpenAI bot provided a solid basis for understanding the greatest issues facing Machine Learning LLMs, the advantages of Active Inference AI over LLMs, and the way in which the next evolution of the internet protocol, the Spatial Web, when combined with Active Inference AI, can function as a nervous system for a company, city, or even larger systems.

AI – The Maker vs. the Operator, LLM vs Active Inference

VERSES AI has overcome the limitations of machine learning AI, by building a new kind of artificial intelligence based on a real-time world model described as:

“AI that grows in knowledge, perception, and awareness through the evolving real-time data produced by all things, at all times, throughout our living, breathing, and ever-changing world.”
This is Active Inference AI, an entirely new type of networked AI that is designed for Real-Time Operations, including things like managing the daily operations of a hospital, an airport, global supply chains, an entire smart city, global drone and autonomous vehicle traffic, and other real-world activities.