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 ...

A new physics-informed machine learning framework embeds hysteretic mechanical laws into neural network training, reproducing ...

A leakage-controlled study of 24 simulated cases found that machine learning could estimate prompt NOx in a hydrogen-enriched ...

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 ...

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 ...

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 ...

By training a machine learning model on a specific process, machine vision can capture a part number, validate proper assembly (seating, alignment, screw torque, etc.) and confirm final measurements, ...

Hello. I am Bren, a machine learning engineer at Idein.Before joining Idein, I worked primarily in machine learning within ...

I think there are quite a few people who make games but have never really touched machine learning.At first, I also had a ...