A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.

Machine learning allows a computer to teach itself how to solve problems by analyzing large sets of data. Human programmers don't teach machine learning systems how to solve problems, nor do they ...

For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick "wonder material" known for its ...

I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Matt Whittle has experience writing and editing accessible education-related content in health, technology, nursing and business subjects. His work has been featured on Sleep.org, Psychology.org and ...

PG&E's new monitoring center uses machine learning to detect and prevent wildfires, avoiding ignitions and outages.

The financial sector is undergoing a rapid transformation in 2026, moving beyond the early days of AI experimentation to full-scale enterprise deployment. With the August 2nd deadline for the EU AI ...

Scientists move from reactive safety to predictive stabilization, using AI to manage the nonlinear physics of magnetic plasma ...