In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

PRESSADVANTAGE – Blue Interactive Agency in Fort Lauderdale, Florida, announced the introduction of an AI-driven local content scaling framework designed to help businesses improve organic visibility ...

The government’s consultation on the AI and copyright issue has also included roundtables with representatives of the ...

The UK government has published the results of its consultation with 11,500 respondents from creative, cultural, tech, legal ...

As you can see, Alphabet's 64% return trounced the rest of the Magnificent Seven, beating 2025's second-best performer, ...

Discover why Southern Company offers 12% upside and a 3.5% yield. Explore Q3 results, growth from data centers, and dividend potential.

Abstract: Nowadays, task-based functional magnetic resonance imaging (fMRI) plays a pivotal role in understanding the functional organization of human brain. Despite the introduction of various deep ...

Introduction The COVID-19 pandemic highlighted the significance of mathematical modelling in decision-making and the limited capacity in many low-income and middle-income countries (LMICs). Thus, we ...

Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Psychogastroenterology ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...