Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

The University of Tennessee, Knoxville, is a leader in automated materials characterization, integrating AI, machine learning ...

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 ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

A team of researchers that includes Worcester Polytechnic Institute (WPI) computer scientist Kyumin Lee has developed a DNA ...

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

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

The International Society of Automation has released a paper on the opportunities & challenges of artificial intelligence in ...

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

Abu Dhabi, UAE – Al Gharbia Pipe Company (AGPC), an Abu Dhabi-based producer of longitudinally submerged arc welded (LSAW) ...