Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

Scientists had theorized about the possibility of a plasma physics phenomenon, but their AI system discovered the real thing.