New research shows AI language models mirror how the human brain builds meaning over time while listening to natural speech.

Artificial intelligence was built to process data, not to think like us. Yet a growing body of research is finding that the internal workings of advanced language and speech models are starting to ...

Recent survey delivers the first systematic map of LLM tool-learning, dissecting why tools supercharge models and how ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

The world of finance produces vast amounts of data, yet many types – such as text, audio, and image data – have historically been underutilized in financial modeling. Traditionally, stock prices are ...

Small language models, known as SLMs, create intriguing possibilities for higher education leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniaturized ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

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 ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical ...