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

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 ...

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

Interest in intensified manufacturing is driving innovation in downstream technologies, according to the team behind a new predictive freeze-drying model designed with continuous processes in mind.

The oil and gas industry involves capital intensive processes with continuous output. Raw materials, such as crude oil, are converted to petroleum products on a very large-scale, making process ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

Learn how asset level intelligence maintenance and disciplined data architecture transform oil and gas reliability in this ...