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 ...

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

Despite what some experts have characterized as an environment increasingly hostile to AI R&D, North America continues to ...

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 ...

Nilesh Singh stands out as a dynamic force in the field of machine learning and software engineering, currently serving as Senior Manager of Machine Learning at Comcast. At the intersection of ...

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

Imran Ahamed is a distinguished Machine Learning Engineer and Data Scientist with extensive experience in designing and deploying AI-driven solutions. His work spans across the retail and logistics ...

Alfred University’s Inamori School of Engineering hosted a short course this week on battery machine learning, which was ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Voleon has two main funds, Composition and Institutional, with different strategy types; Composition is a multistrategy fund ...