A new review of 75 studies proposes a unified data-driven framework linking polymer 3D printing defects, multi-sensor ...

A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing ...

Virtual twins and machine learning (ML) offer a faster, lower-cost way to identify systemic yield issues as DRAM manufacturing grows more complex.

Batch failures in biomanufacturing are rarely unpredictable. The warning signals appear in process data long before a culture collapses or a critical quality attribute drifts out of specification, but ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

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 ...

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 ...