Machine Learning

Scientists Predict New Superhard Materials

by Skolkovo Institute of Science and Technology
Superhard materials have recently attracted increasing research interest due to their potential implications for a broad range of industries

Computers Excel in Chemistry Class

by King Abdullah University of Science & Technology
KAUST researchers have developed a machine learning model that can analyze the structure of hydrocarbon molecules and accurately predict a property called enthalpy of formation

Recent Study Improves Shoe Print Forensics

by Carnegie Mellon University
A new model improves how uncertainty is calculated when matching shoe print evidence, strengthening the validity of this forensics technique