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

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 ...

Snowflake is addressing the complexity of migrating legacy data systems into the Snowflake ecosystem with SnowConvert AI, a ...

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

Check the newly introduced eMaster’s in Applications of Machine Learning in Engineering program at IIT Gandhinagar.

The VA’s emerging tech initiatives have ranged from introducing an AI chatbot designed to help agency employees with ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

The U.S. Food and Drug Administration (FDA) has been ahead of the curve for a number of years on emerging issues and ...