Real artificial intelligence innovation does not begin with abstract ideas or speculative demos. It begins with clearly ...

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 ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

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, ...

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 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 ...

Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for ...

A DeFi protocol is using real-world asset tokenization to help football clubs raise liquidity by bringing future media revenues onchain ...

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, ...

Quantum computing has long been the domain of theoretical physics and academic labs, but it’s starting to move from concept to experimentation in the real world. Industries from logistics and energy ...

AI that creates real impact is rarely born from abstract ideas or flashy demos. It takes shape when builders start with ...