A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), announces the official release of HOOPS AI, the first framework purpose-built to unlock AI and machine ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Research from a team at the University of Texas at Dallas shows the potential for detecting mental health disorders by ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The program is helping future healthcare professionals better understand, practice and prepare for real-world patient care.

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...