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 with real-time learning.Designed to ...

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

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 ...

It's one of humanity's scariest what-ifs – that the technology we develop to make our lives better develops a will of its own ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

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 ...

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

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

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 ...