Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

ARTIFICIAL intelligence is advancing rapidly. But adoption in process industries will be slower – and for good reason.

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...

Process Engineering encompasses the analysis, modeling, simulation, optimization, design, control and operation of process systems, from micro-sized systems to huge industrial facilities. Many ...

In order to improve the forming quality, it is vital to understand the mechanisms that cause the plastic strain localization which eventually leads to ductile damage occurrence in the incremental ...

With the release of Stable Diffusion, Dall-E2, and ChatGPT-3, people could engage with AI first-hand, watching with awe as seemingly intelligent systems created art, composed songs, penned poetry and ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...