Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

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 ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Researchers at the Asian Development Bank found that advanced AI models like Gemini 2.5 Pro can significantly speed up ...

Over the past year, the conversation around artificial intelligence (AI) has shifted. After a period of rapid progress, many teams deploying large language models (LLMs) are encountering familiar ...