The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

This paper systematically reviews the research progress and application of machine learning in adsorption processes. By virtue of outstanding nonlinear modeling and data mining capabilities, machine ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

A team of chemists and engineers at the University of British Columba working with colleagues at pharmaceutical company Pfizer has developed a chemical processing system combining computer vision with ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

Individuals and societies face motivating, inspiring and potentially broad difficulties as a result of digitization and virtualization in education. Artificial intelligence and machine learning in ...