This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of ...

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

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to ...

After decades of growth, the use of antimicrobials—including antibiotics—in livestock peaked in 2013 and then dropped by nearly a third by 2020, finds a major new study led by UCL researchers. The ...

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 ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

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 ...

A large Chinese research team has developed an air quality model called EPICC (Emission and atmospheric Processes Integrated and Coupled Community Model) that demonstrates improved accuracy in its ...