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

Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning ...

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 ...

In the late 1970s, a Princeton undergraduate named John Aristotle Phillips made headlines by designing an atomic bomb using only publicly available sources for his junior year research project. His ...

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

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 ...

China’s latest generation of open large language models has moved from catching up to actively challenging Western leaders on ...

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 ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

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

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