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 ...

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

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

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 ...

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

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 ...

In March, Google showed off its first Genie AI model. After training on thousands of hours of 2D run-and-jump video games, the model could generate halfway-passable interactive impressions of those ...

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

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 ...