Benchmarking Predictive Coding Networks — Made Simple
The paper addresses efficiency and scalability issues in predictive coding networks (PCNs) by introducing a library called PCX. This open-source tool …
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Variational Bayes Gaussian Splatting: A Bayesian Approach for Continual 3D Learning
VERSES AI Research Blog - "In recent years, computer vision has made remarkable progress in understanding 3D scenes, fueled by innovations like Neural…
Gradient-free variational learning with conditional mixture networks
The study introduces CAVICMN, a gradient-free variational method for training conditional mixture networks (CMNs), enhancing computational efficiency …
Gradient-free variational learning with conditional mixture networks
VERSES AI Research Blog - "Deep Learning (DL), enables many incredible capabilities such as image recognition, natural language processing, and conten…
Achieving Human-Level Atari Gameplay with Object-Centric Priors and Active Inference
VERSES AI Research Blog - "It has been several years since deep reinforcement learning (DRL) algorithms first demonstrated superhuman performance in c…
VERSES Renews Agreement with Chief Scientist Karl Friston to Continue Innovation Multi-year Contract Builds on Success in Genius™ and Atari Benchmarks for Next-Gen AI
VANCOUVER, British Columbia, Dec. 23, 2024 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive co…
VERSES AI Crushes OpenAI o1 in Head to Head Competition
VERSES AI 's New Genius™ Platform Delivers Far More Performance than Open AI's Most Advanced Model at a Fraction of the Cost.
Behind the Scenes with Genius: How Active Inference is Redefining the Very Definition of AI
Go behind the scenes of Genius —with probabilistic models, explainable and self-organizing AI, able to reason, plan and adapt under uncertainty.
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
The paper introduces a novel algorithm, Divide-and-Conquer Predictive Coding (DCPC), which enhances Bayesian inference in structured generative models…
GenRL: Multimodal-foundation world models for generalization in embodied agents
GenRL presents a novel multimodal-foundation world model for developing generalist embodied agents capable of handling diverse tasks. By integrating v…