Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Build flexible Excel functions that automatically handle blanks, defaults, and overrides without messy nested IFs.

Abstract: This article investigates a dynamic slab assignment problem (DSAP) that arises in the slab production process of steel industry. In DSAP, a set of slabs and orders arrive dynamically at each ...

Schools are facing a growing problem of students using artificial intelligence to transform innocent images of classmates into sexually explicit deepfakes. The fallout from the spread of the ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...