Whitepaper: Mastering Gameworld 10k in Minutes with the AXIOM ‘Digital Brain’
A New Benchmark Test For Generalized Intelligence
In our new research paper, we examine how AXIOM outperforms Google DeepMind’s top AI models in the…
Tag: VERSES AI
Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability
Resources – Scientific Research Papers Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability Axel Constant, Marco Perin, Hari Thiruvengada, and Karl…
Beyond Imitation Games: A Falsifiable Emergent Sentience Framework
The paper by Hipolito, Albarracin, and Hynes presents a framework for minimal sentience based on self-maintenance, adaptability, and agency. It emphas…
Benchmarking Predictive Coding Networks Made Simple
VERSES AI Research Blog - "Artificial intelligence (AI), as exemplified by large models such as ChatGPT, is one of the key technologies of this centur…
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 …
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…
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…