New research led by the University of Michigan provides utilities and policymakers with forecasts that can help them better ...

A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

Nine blockchain firms formed the Quantum Alliance Oct. 15, warning 30.2% of Bitcoin sits in quantum-exposed addresses. Heres ...

EY's 2026 Pulse report shows AI shifting medtech value from devices to the algorithms, data, and digital services that power them.

Researchers have identified two common drugs that may, when given together during pregnancy, prevent premature births. The finding is the fruit of a new Stanford Medicine–led, artificial ...

Stanford Medicine researchers built an AI-enabled model of immune system changes in pregnancy, allowing them to test medications to avert premature birth.

Researchers are exploring whether AI can anticipate the transition — and if virtual reality can help make hot flashes less ...

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

Differential privacy is a mathematical framework that limits how much an algorithm's output can change when any one person's ...

The reason your ensemble implementation fell short of expectations is not because you lack enough models. Rather, it is ...

Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when ...