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

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Translational bioinformatics and data-driven biomedical research involving multi-omics profiling studies enable researchers to obtain comprehensive insights into key biological processes in health and ...

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 ...

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

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 ...

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 ...

Melt viscosity is regarded as a key quality indicator of the polymer melt in polymer extrusion processes. However, limitations such as disturbances to the melt flow and measurement delays of the ...

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

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 ...

Researchers combined low-temperature plasma processing with machine learning to synthesize and etch 6-inch MoS2 and WS2 ...

A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.