Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

For more than five decades, Richard Larson, PhD, has shaped the field of operations research with a deep commitment to solving real-world problems. Since 1969, he has worked as a professor at the ...

Magnetic materials are used to make MRI machines, hard drives, wireless chargers, and phone speakers. It takes a lot of expensive research and development to create new materials. “And there’s no ...

The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...

The future of Industrial AI is not a single, all-knowing "super AI" but a distributed, collaborative ecosytem of AI agents. We take a look at simple agents (scouts), specialist agents (players) and ...

AI that creates real impact is rarely born from abstract ideas or flashy demos. It takes shape when builders start with clearly defined, real world problems and work within real constraints. This ...

Everywhere you look, people are talking about AI agents like they’re just a prompt away from replacing entire departments. The dream is seductive: Autonomous systems that can handle anything you throw ...

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...