Two AI models. The team used two AI models—an isolation model to detect anomalies during the batch phase of the process and a random forest model to predict required operator control actions ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

An international initiative will transform biologics and drug manufacturing through AI-driven multiplatform integration. The AI-optimised BALANCE (Bioreactor Automation for Learning and Adaptive ...

Albemarle's $50 million in annual savings from AI-driven process optimization shows manufacturing engineers how to transform ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Continued process verification, in contrast, is an ongoing process that requires drug makers to track and analyze complex data for as long as the process runs. And this is a challenge, says Toni ...