Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Unconventional AI Inc. has developed an artificial intelligence architecture that could improve the power efficiency of image ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Enterprise AI infrastructure company TrueFoundry has announced its acquisition of Seldon AI, bringing together two Kubernetes ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...