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 ...
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 ...
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 ...
Despite decades of research in robotic manipulation, only a few autonomous manipulation skills are currently used. Traditional and machine-learning-based end-to-end solutions have shown substantial ...
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 ...
Researchers combined low-temperature plasma processing with machine learning to synthesize and etch 6-inch MoS2 and WS2 ...
Modelling complex spatiotemporal dynamical systems, such as reaction–diffusion processes, which can be found in many fundamental dynamical effects in various disciplines, has largely relied on finding ...
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 ...
A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results