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 review shows how combining design of experiments with machine learning can transform hydrothermal carbonization from ...

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 ...

Chemists at Yokohama National University combined competition experiments, 3D electronic data and machine learning to predict ...

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 ...

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step. This mechanism is used in features that filter spam, identify what is in a ...

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, ...

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 ...

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 ...

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