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

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

AI's value depends on the educators and leaders who wield it with intention and a commitment to equity, fairness, responsibility, and balance.

Former dean of the Humanities Division remembered for his gentle kindness, skill with words and shrewd sense of humor ...

Research Progress on the Localized Application of the Objective Structured Clinical Examination in Higher Vocational Nursing ...

The Arizona Supreme Court won’t consider whether public schools need to ask for parental permission before teaching students ...

Both humans and LLMs show modest metacognitive sensitivity : When explicitly prompted for confidence ratings, high confidence ...

The Arizona Supreme Court recently affirmed a decision involving the authority over dual-language learning models in state ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world. Tesla’s viral videos show its Optimus humanoid robot serving ...

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.

The original version of this story appeared in Quanta Magazine. Among the myriad abilities that humans possess, which ones are uniquely human? Language has been a top candidate at least since ...