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 ...

Researchers combined ballistic experiments, finite element modeling, and a neural network to predict how PEEK plates fail ...

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 ...

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step.

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 ...

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...

Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...

Organizations want a competitive edge and look to platforms for machine learning that provide a means to predict outcomes from ever-growing volumes of data. This roundup of machine learning platforms ...