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

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

Objectives Work stress is a threat to the well-being of nurses in China and also globally, and many studies have been conducted on the risk factors for stress symptoms. However, research on the ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

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

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

MiniMax M2 was released in late October this year. The company stated that M2.1 demonstrated significant improvements in ...

Abstract: Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The ...