Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...

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 ...

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

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

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

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

A smart bandage could speed up wound healing by actively tracking and responding to the healing process. The proof-of-concept device, called a-Heal, was designed to fit inside a commercial colostomy ...

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

The EU’s law enforcement agency has been quietly amassing data to feed an ambitious but secretive artificial intelligence development programme that could have far-reaching privacy implications for ...

The United States economy relies heavily on the financial services industry, which has historically shaped marketplaces, innovations, and trade ...