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.

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

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 Machine Vision Market is gaining significant momentum as industries worldwide increasingly adopt automation technologies to enhance productivity, improve product quality, and reduce operational ...

Achieving the promise of nuclear fusion as a source of limitless, safe, and clean energy is a grand challenge for science and ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

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.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

In this article, we will discuss the 5 Best Machine Learning Stocks to Buy According to Short Sellers. For deeper discussion ...