X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

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

Electric vehicles (EVs) that run on lithium-ion batteries have restricted range, battery deterioration and safety issues that ...

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

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 ...

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

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial ...