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 ...

Key Takeaways Books help explain ML in depth, better than short tutorials.The right book depends on goals—coding, theory, or ...

New findings published in Nature PhotonicsOne of the current hot research topics is the combination of two of the most recent ...

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

The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...

Tracking your EV, solar, and energy use with machine learning - Join CEO Mike Phillips from Sense as we explore how machine ...

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

Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...