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 ...

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

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 ...

New landmark peer-reviewed paper published in Science, “Beyond-Classical Computation in Quantum Simulation,” unequivocally validates D-Wave’s achievement of the world’s first and only demonstration of ...

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 ...

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 ...