Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data ...

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

Manufacturers are advancing AI-powered initiatives to gain efficiencies, especially around maintenance, quality and energy ...

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 ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

In the age of digital transformation, machine learning (ML) is rapidly becoming a pivotal technology in various sectors. One of its most exciting applications is in the field of advanced materials ...

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...