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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...