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…
Category: Resources
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…
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
This research explores the geometry of the predictive coding (PC) energy landscape and its impact on learning efficiency. It demonstrates that equilib…