The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield ...

It is enhancing carbon transparency and traceability of green products, strengthening competitiveness and market influence ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Meta is using weatherproof tent structures to house AI infrastructure, in a bid to build data centers as quickly as possible.

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...

AgentCore-powered agents and other AI applications can keep their data in Amazon S3 Vectors, a new storage offering that also ...

Opinion: Sullivan & Cromwell attorneys Frank Aquila and Catherine Yuh say firms that don't take advantage of AI to identify M ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...

A team of NYU chemists and physicists are using cutting-edge tools—holographic microscopy and super-resolution imaging—to ...

A team of NYU chemists and physicists are using cutting-edge tools—holographic microscopy and super-resolution imaging—to unlock how cells build and grow tiny, dynamic droplets known as biomolecular ...