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

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

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 ...

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 ...

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 ...

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite number of possible material combinations to identify candidates for ...

Top interviews, articles, and news in the Artificial Intelligence Industry, curated by AZoRobotics - The A to Z of Robotics and AZoMaterials. Artificial Intelligence (AI) encompasses the creation and ...

Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...