Discover how artificial intelligence is revolutionizing manufacturing processes, from automation and efficiency to supply ...

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...

The initiative led by WPI researchers aims to enable the rapid production of high-quality components from scrap metal.

WPI researchers aim to revolutionize on-site additive manufacturing by combining materials science, artificial intelligence, and 3D printing ...

Machine learning (ML) and artificial intelligence (AI) have revolutionized battery diagnostics by sifting through volumes of ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

The learning components can be managed in many educational and personalized combinations to form a collection (Ct). Combining collections in turn provide a structural learning content pattern. We ...

A deep dive into the technological progress of today’s smart valves, bearings, brakes, gearboxes and actuators, and what’s ...

Lastly, sigma nought coefficients were used in semiempirical inversion models, and sigma nought coefficients and polarimetric decomposition components were used as input to machine learning methods.

In the rapidly evolving digital landscape, Artificial Intelligence (AI) stands as one of the most transformative technologies of our era.

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...