A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary ...

Researchers used machine learning-guided laser powder bed fusion to create a titanium alloy with sub-10-nanometre ...

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 ...

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 ...

Combining low-fidelity trend information with empirical data to train models can improve their accuracy and reduce costs.

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibers. Their value comes from diverse properties that are largely ...

OnDeck's new AI-powered verification, combined with its machine learning, can produce real-time decisioning that can cut funding decision time from a few hours to under a minute, with the goal of ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...