GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Saigon Technology estimates that 60-70% of hybrid AI project costs are spent on integration, not model development, which is avoidable. So, integration architecture is now the first thing they design, ...

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

Lagos — AI-enabled smart grids are revolutionizing energy production and distribution through real-time predictive analytics and machine learning, dynamically aligning supply with demand. AI is ...

Global MASH cirrhosis burden is rapidly increasing, yet therapeutic and prognostic frameworks remain limited, with sparse ...

Cities have always been complex living systems—and as they grow denser and more dynamic, managing them has become one of this ...

The brain predicts the past and learns from prediction errors—unless it's overwhelmed. A little uncertainty is good; a lot is ...

Abstract: This paper develops a personalized federated learning-based distributed model predictive control (PFL-DMPC) method with predictive error compensation (PEC ...

Joydeep Ganguly evaluates 4IR tools, data strategy, and why end-to-end thinking will define pharma supply chain ...

For those unafraid of equations, What Are the Odds? is a practical, insightful guide to thinking like a statistician.

As competition intensifies across the sports betting sector, operators and affiliates are placing greater emphasis on tools ...

Read more about AI brings new hope to Africa’s health crisis; skills shortages slow real-world impact on Devdiscourse ...