In Tornado Alley, meteorologists are using autonomous drones to fill forecasting gaps and capture real-time weather data. WSJ followed the team working to make this tech the new standard. Photo: ...

A new electronic health record (EHR)-based model called PRIME identified individuals who had a sevenfold higher risk of developing pancreatic cancer, vs the population norm. Validated across more than ...

Broadcom benefits from the AI infrastructure build-out in two main ways. The company is set to see explosive growth in the coming years. Broadcom benefits from the increasing size of AI clusters in ...

Around 20–40% of the general population are estimated to have insulin resistance—a condition where insulin begins to be less effective in the body, and glucose regulation becomes more difficult.

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Learn how to model a velocity selector using Python programming! In this video, we guide you step-by-step through simulating the behavior of charged particles under electric and magnetic fields, ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

TRAVIS COUNTY, Texas (KXAN) — Several Central Texas fire departments have adopted a new wildfire risk modeling tool to help firefighters better prepare and mitigate wildfire threats. The ‘Mitigate’ ...

AUBURN, Ala. (WTVM) - Alabama Power is preparing for the spring storm season with a new predictive technology designed to reduce power outage times and better position crews before storms hit. The ...

Larger crypto payments to darknet markets were linked to higher stimulant hospitalizations and deaths in Canadian health data. Blockchain transaction data tied to cryptocurrency payments may provide ...

A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...