Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...

“As we design materials ... The team also sees the potential of their novel machine learning method to predict other rare ...

Machine learning (ML) models have become increasingly popular in many kinds of industries due to their ability to make accurate and data-driven predictions ... reveal any potential issues related to ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning ... the model to evaluate various possible causal relationships and use them for its predictions.

Reddy Srikanth Madhuranthakam has become a cornerstone figure in the global movement toward privacy-preserving AI proving ...