“We’re optimistic that RGMs are a strong contender for replacing deep learning, reinforcement learning, and generative AI.” - Hari Thiruvengada, CTO, VERSES AI
A list of materials that gives you the necessary background to understand the full Free Energy Principle (and Active Inference), which also functions as a reasonably complete map of the territory so that people can quickly see what the field encompasses and how the parts relate. Our syllabus should cater to the kinds of people who end up interested in the FEP, so should include different starting points and different levels of technical detail.
Resources – Scientific Research Papers Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability Axel Constant, Marco Perin, Hari Thiruvengada, and Karl…
VERSES Research Blog – by Ines Hipolito – “As artificial intelligence weaves itself ever more tightly into the fabric of society an age-old question looms larger: Can machines be conscious? This inquiry has been a North star guiding VERSES research and to truly understand machine consciousness we felt the need to rethink our approach from the ground up. Following is a high level summary of a paper we recently published as a pre-printed, Beyond Imitation Games: A Falsifiable Emergent Sentience Framework.”
VERSES AI has unveiled a groundbreaking framework that “sets the stage” for ASI, and could have profound implications for the future of AI and human-machine cooperation.
In a panel hosted by the Financial Times at the World Economic Forum in Davos, Switzerland, two of the biggest names in artificial intelligence — Dr. Karl Friston of VERSES AI, and Dr. Yann LeCun of Meta — discussed their aligned, yet contrasting visions for the future of AI, with Friston proclaiming, “Deep Learning is Rubbish,” with Yann LeCun asserting, “The future of AI is non-generative.”
VERSES' Latest Research Advances Beyond GenAI with RGM Conceptual Modeling For Better, Faster, and Cheaper AI
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