VERSES AI Demos Genius™ AI Platform: Pioneering the Future of AI with Active Inference
VERSES AI's "Genius™" platform marks a pivotal moment in AI evolution, akin to historic technological milestones like the first rocket launch. CEO G…
Category: Resources
Relative representations for cognitive graphs
The paper discusses relative representations derived from latent spaces of neural networks, enabling comparison across various models. It explores the…
Integrating cognitive map learning and active inference for planning in ambiguous environments
The paper explores integrating cognitive map learning and active inference for navigation in ambiguous environments. It evaluates a clone-structured c…
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
The paper discusses a system combining world models and curiosity-driven exploration for autonomous navigation in unknown environments. It showcases e…
Path integrals, particular kinds, and strange things
The paper presents a path integral formulation of the free energy principle, detailing how particles evolve through time. It introduces a variational …
Revolutionary AI Whitepaper Validated by New Neuroscience Breakthrough
VERSES AI proposed a transformative AI paradigm in their 2022 whitepaper, "Designing Ecosystems of Intelligence from First Principles." By leveraging …
Bridging Cognitive Maps: a Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit
The article presents a hierarchical active inference model that integrates cognitive maps for navigation and task performance, focusing on the hippoca…
Friston’s AI Law is Proven: FEP Explains How Neurons Learn
Dr. Karl J. Friston, a leading neuroscientist and Chief Scientist at VERSES AI, is renowned for his contributions to brain imaging and the Free Energy…
Brain-inspired computational intelligence via predictive coding
The paper discusses the limitations of traditional AI methods, particularly deep neural networks. It proposes predictive coding, a neuroscience-inspir…
Experimental validation of the free-energy principle with in vitro neural networks
The study validates the free-energy principle through in vitro networks of rat cortical neurons, confirming its predictive accuracy regarding self-org…