Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...

Bots and AI are dominating Polymarket by exploiting mispriced odds and latency, leaving human traders struggling to compete.

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

A team of researchers at Penn State have devised a new, streamlined approach to design metasurfaces, a class of engineered ...

SportsLine's advanced model has simulated every game 10,000 times and locked in its NFL playoff best bets today ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...