The open letter, published in The New York Times, outlines how VERSES is pursuing an alternative approach to AGI using Active Inference, a method pioneered by VERSES’ Chief Scientist, Karl Friston. Active Inference comprises a set of techniques and tools enabling the design and deployment of intelligent agents capable of automatically and efficiently seeking out and learning from relevant data, resulting in an auditable and human-explainable decision-making and action-selection process.
VERSES’ latest research results indicate that its Active Inference agents may soon be able to match and surpass the performance of leading AI state-of-the-art approaches based on deep learning while using orders of magnitude less data and fewer computations. The Company expects to share more details and validation tests with partners and the broader community in the coming months. ...
Following the Free Energy Principle — which reconciles our brains’ predictions about the world with reality to reduce the differences between the two — Active Inference codifies mathematical principles that explicitly link intelligence, cognition and rational behavior to physical processes at any scale, from macroscopic to microscopic. With this framework, VERSES aims to solve probabilistic AI’s tractability problem, allowing users to design and deploy adaptive, real-time, scalable AI. ...
See the full story here: https://aithority.com/machine-learning/verses-identifies-new-path-to-agi-and-extends-invitation-to-openai-for-collaboration-via-open-letter/