Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

What if the toughest problems humanity faces—those that stump our brightest minds and stretch the limits of human ingenuity—could be tackled by a single, purpose-built system? Enter Gemini Deep Think, ...

What if machines could not only think but also act—independently, intelligently, and in real time? From coordinating disaster relief efforts to predicting crop yields with pinpoint accuracy, AI agents ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...