The first available use case for BeeKeeper, Mount Sinai and Morehouse is for chronic heart failure (CHF). AI model developers ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

It uses large language models and algorithms to analyze patterns in datasets and mimic the style or structure of specific content types. Machine learning (ML), on the other hand, helps computers ...

In recent years, machine learning (ML) has significantly reshaped the retail and e-commerce sectors. Author Nilesh Singh's ...

The information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...

The algorithm can use examples of atrial fibrillation ... that pretraining with one bio-signal allows a machine-learning model to learn from another bio-signal with fewer labels.

What lies at the heart of a black hole has puzzled physicists for decades. Now, a team led by physicist Enrico Rinaldi has ...