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 ...

While machine learning models can accurately interpolate drug solubility in supercritical carbon dioxide for represented ...

Direct laser writing (DLW) employing two-photon absorption allows to fabricate almost arbitrary 3D structures down to the sub-micron scale. DLW is one ...

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 ...

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 ...

Hello, this is Akitomo.The theme for Part 1 of Series 2, 'How AI Learns,' is 'To begin with, how is machine learning ...

Backtesting is frequently used in the world of stock investment and FX.On the other hand, in the world of AI, the term ...

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 ...

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 ...