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

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that ...

Recent advances in froth flotation optimisation have increasingly leaned on machine learning methodologies to improve process control and enhance mineral recovery. By integrating data‐driven ...

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 ...

Healthcare professionals from back-office procurement officials to c-suite finance executives are witnessing fiscal stresses on their organizations today at all levels of scale and scope of operation.

In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Continuous analytics and automated monitoring are enabling insurers to respond faster to emerging performance shifts ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...