Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict how environmental regulations will affect wetlands and streams before they ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following ...

Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges owing to climate change, urbanization, improper ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

Researchers develop AI tool to predict patients at risk of intimate partner violence: Bethesda, Maryland Monday, March 16, 2026, 16:00 Hrs [IST] A team of researchers funded by th ...

NIH-funded, automated clinical decision support could facilitate timely interventions for at-risk patients years before they ...

Like millions of other people, climate scientists are finding a role for large language models in coding, communication and ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

A team of researchers funded by the National Institutes of Health (NIH) have developed an artificial intelligence (AI) tool that provides decision ...