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

AI bias can influence how users think or feel, regardless of whether the information presented is true or false.

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...

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

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...

Since April, Xiaomi has released a series of open-source foundation models covering language, multimodal and voice capabilities. In November, it also unveiled Xiaomi Miloco, a smart home exploration ...

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 ...

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

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...