MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

Abstract: The integration of inverter-interfaced sources into microgrids has led to new protection challenges due to fluctuating fault currents, bidirectional power flow, and low inertia. Traditional ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Solving the markets had gotten stale. So Danny Jachowski left Jump Trading and used his AI skills to formulate new ways to price business insurance risk.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.