Understanding mental illness requires understanding psychiatric disorder causality. New brain research explores this in ...

Training schools focused on modeling solid Earth responses to ice mass changes offer lessons on how early-career scientists ...

Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

Investors have backed startups like $300 bln OpenAI in the hope that innovators will grab users and pricing power. But the ...

A new weather station at Mansfield in north-east Victoria could close a critical forecasting gap, offering residents more accurate data for the first time.

The US system to track vulnerabilities is struggling to keep up with its backlog. Experts are scrambling to assemble ...

At the Met Office, observations are the cornerstone of our forecasting capability. They provide a real-time snapshot of atmospheric conditions, feeding directly into our systems to ensure our ...

A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few under-the-radar risers, here's what he found.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Data processing startup Typedef Inc. wants to help companies accelerate the deployment of artificial intelligence application pilots after closing on $5.5 million in seed funding.