Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

In this quality improvement study using a controlled simulation, commercial large language models (LLM's) demonstrated substantial ...