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

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform text.

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

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

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

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

Large language models, or LLMs, are the AI engines behind Google’s Gemini, ChatGPT, Anthropic’s Claude, and the rest. But they have a sibling: VLMs, or vision language models. At the most basic level, ...

Large language models, often called LLMs, usually help write emails, answer questions, and summarize documents. A new neuroscience study suggests they may also hint at how your own brain understands ...

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

A world's first study shows that AI-generated writing continues to display distinct stylistic patterns that set it apart from ...