Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Scientists have uncovered a new explanation for how swimming bacteria change direction, providing fresh insight into one of ...

A small molecule known as 10H-phenothiazine reduced the loss of motor neurons, the nerve cells that are lost in SMA, in ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

Delivering a connection-building protein to star-shaped cells in the brain could reverse changes to neural circuits seen in ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new study suggests that how neurons process energy may determine whether they resist damage or begin to break down.

In a study published in European Heart Journal on December 26, a research team from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of ...

Cedars-Sinai investigators worked with a multi-institutional team to develop a new artificial intelligence framework that can accurately, quickly and efficiently create virtual models of brain neurons ...

Communication analysts are noting structural similarities between GPT-5.1’s interpretive behavior and long-standing journalism practices. The model’s emphasis on clarity, factual accuracy, and ...