Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

Trading autonomously, in real time, at a scale no human desk can match. Right now, an algorithm is reading macro signals, ...

Artificial intelligence is becoming an increasingly visible part of modern healthcare technology. Hospitals, research institutions, and healthcare organizations are exploring ways AI systems can ...

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 ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...