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 ...

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 ...

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 ...

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 ...

A Green Machine Learning benchmark on Melbourne wastewater data shows XGBoost matching deep learning accuracy for COD and ...

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...

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