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, ...

The polar vortex, a swirling mass of cold air encircling the North Pole, is sometimes disrupted by sudden stratospheric ...

A BMC Pediatrics study finds that a random forest model combining serum creatinine and cystatin C, further improved by adding ...

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

A Random Forest classifier predicts U.S. News mechanical engineering graduate program rank intervals with 0.91 test accuracy, ...

RIVANNA®, developer of AI-enabled clinical decision-support solutions, today announced that the U.S. Food and Drug ...

Fitzroy Minerals' machine learning study with Fleet ranks 9 untested copper targets at Buen Retiro, Chile, ahead of a ...

Predictive maintenance systems spot machine failures early by measuring how motors, pumps, fans and gearboxes vibrate and ...

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.

I saw the FAQ for the meeting minutes tool, which stated, 'We do not perform machine learning without the customer's ...

Researchers with the company say they’ve found a new, cost-effective way to make more accurate weather forecasts two to six ...

Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as ...