Newswise — Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to precision-weld components together or produce more complex ...

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 ...

In a new study published in Chemical Science, researchers from the University of Oxford's Department of Chemistry have used machine learning simulations to trace how a common polymer transforms into ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibers. Their value comes from diverse properties that are largely ...

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 ...

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 ...

Enterprises face different challenges when it comes to developing machine learning AI algorithms and putting machine learning in production. Machine learning development is an experimental and ...

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Rosalind Franklin's pioneering research, Oxford chemists describe how disordered carbon forms, atom by atom.75 years after Rosalind ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...