Active Inference AI: The Future of Enterprise Operations and Industry Innovation
By understanding and adopting Active Inference AI, enterprises can overcome the limitations of deep learning models, unlocking smarter, more responsiv…
Category: Resources
What the IEEE spatial web standard means for embodied AI – teaching AI to see the world
Diginomica - George Lawton - "Verses Founder and President Dan Mapes weighed in on the significance of the new IEEE P2874 draft standard for Spatial W…
Multi-Agent Collective Intelligence with Active Inference (Part 1) Considering a two-level structure to derive collective intelligence
In this project the client offers an Enterprise Resource Planning (ERP) system that consists of a number of modules. The system runs as a SaaS (Softwa…
Variational Bayes Gaussian Splatting
The paper presents Variational Bayes Gaussian Splatting (VBGS) as an innovative method for 3D scene modeling using Gaussian mixtures. VBGS overcomes t…
Building the Future: How Active Inference AI and the Spatial Web Will Transform Abu Dhabi into the World’s First Truly Smart City
The initiative between VERSES AI and Analog in Abu Dhabi isn't just about technology - it's about reinventing urban life. By incorporating Active …
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
The research paper introduces novel techniques in active inference for continuous action POMDPs focusing on sparse reward signals. It highlights impro…
How the Edge Computing Landscape is About to Change—and What it Means for EUC
The end-user computing (EUC) landscape is no stranger to transformation. From the early days of on-premises data centers to the rise of cloud computin…
No Generalization without Understanding and Explanation Why AI needs symbolic and logical reasoning.
"John McCarthy, one of the founders of (and the one who supposedly coined the term) artificial intelligence (AI), stated on several occasions that if …
Predictive Coding with Spiking Neural Networks: a Survey
This article surveys spiking predictive coding, a class of neuro-mimetic computational models. It explores how prediction errors are represented and c…
Big AGI Breakthrough: Leveling the Playing Field
"This blogpost addresses three key questions:
How important are RGMs?
What sort of context do we have for assessing RGMs?
What is the potential timef…