AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

SAN RAMON, Calif.--(BUSINESS WIRE)--Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (Grid Dynamics), a leading provider of technology consulting, platform and product engineering, AI, and digital ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Agilent Technologies Inc. (NYSE: A) today announced a collaboration agreement with APC Ltd., in which the companies commit to working towards combining their ...

N-linked glycosylation and other post-translational protein modifications require close monitoring during biomanufacturing, especially in continuous biomanufacturing environments. Researchers at ...

Editor’s note: This article is the third in a series to help practitioners learn about the AICPA’s new quality management standards and prepare to implement them. The new final standards on quality ...

These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

Currently, bioprocess monitoring and control systems rely on infrequent and time-consuming offline sampling methods. This can lead to loopholes in data and major gaps in knowledge, as well as ...

To guarantee the safety and efficacy of products manufactured in cleanroom environments, organizations such as International Organization for Standardization (ISO) and regulatory bodies such as the ...