The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

Ford Pro is leveraging AI and data to shift routine maintenance from when the service shop is open to whenever the vehicle is idle, promising fleets unprecedented uptime and ...

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...

In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...

Scientists from the Departments of Inorganic Chemistry and Chemical Engineering of the University of Malaga participate in an international ...