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

A study published in Physical Review Letters outlines a new approach for extracting information from binary systems by ...

UD doctoral candidate combines field data and machine learning algorithm to find salt patches on farmland tripled since 2011 ...

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

Artificial intelligence is transforming the search for alien life with new tools that detect UAPs and identify Earth-like ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

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

The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...

Now a professor of computer science at U of T and associate research director at the Vector Institute, Raffel discusses the ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...