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

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...

Slowed hiring in 2026 will stress-test hiring systems, exposing how early role design and AI screening shape who is ever ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

Given the resource-intensive nature of AI models, SLMs might adopt dynamic pricing based on load (i.e. higher prices during ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

An autonomous AI-based system may be feasible for determining patients who require early intervention to address cognitive concerns related to Alzheimer’s disease, according to data published in NPJ ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Formic AI today announced the launch of Boreal, an explainable language model (XLM) built to deliver answers that organizations can verify to source and audit end-to-end. Boreal turns unstructured ...

Despite the vast differences in human and bee brains, both of us can do mathematics. As we argue in a new paper published in ...