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

As artificial intelligence (AI) plays a more central role in our lives, large language models (LLMs) are emerging not just as tools but as transformative partners in cognitive processes. Central to ...

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 ...

The multi-level testing framework is designed across spatial relations, spatial scenes, and prompt engineering strategies, with standardized scripts ensuring normalization. Recently, the Journal of ...

Do you use a name or pronoun when referring to or interacting with large language models (LLMs)? It's in this evolving relationship between humans and technology that a peculiar form of interaction is ...

Learning a new language is more than just acquiring the ability to communicate in another tongue; it’s a profound journey that expands your cognitive horizons, fundamentally altering the way your ...

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 examine the recent spate of claims that ...

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...

With so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the ...

Artificial intelligence has been growing in size. The large language models (LLMs) that power prominent chatbots, such as OpenAI’s ChatGPT and Google’s Bard, are composed of well more than 100 billion ...