Keeping models on the Assistant Axis improves AI safety Researchers from Anthropic and other orgs have observed situations in ...

Hospitals across the U.S. are adopting AI to predict patient needs and streamline care, but early use of the technology remains uneven, with adoption clustering in certain regions and lagging in ...

The city says the outreach meets new federal requirements and relies on predictive modeling, while verification and ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...

Researchers have developed and validated predictive models to estimate the core pain-processing mechanisms using a limited set of easily accessible, routinely obtainable clinical measures. Researchers ...

According to Sundar Pichai on X (formerly Twitter), McLaren F1’s 2025 Formula 1 championship victory with Lando Norris and Oscar Piastri highlights the transformative impact of AI-powered data ...