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 ...

Light absorption is a cornerstone for several applications such as solar cells, photodetectors, and optical sensors, to name a few. Yet, the trade-off between the thickness of the absorber and its ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

Shark attacks are relatively rare, but they can be fatal or traumatic experiences when they do occur. Several companies are ...

PSoC Edge, a series of MCUs from Infineon, leverages hardware-assisted machine learning (ML) acceleration for responsive compute and control applications. The microcontrollers are based on an ...

A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...

Quantori's MLConfGen wins the Machine Learning Innovation Award at the 2026 AI Breakthrough Awards for advancing AI-assisted molecular design.

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A large ultrasonic assisted machine tool is coming to the University of Sheffield Advanced Manufacturing Research Centre, cementing the AMRC’s reputation for research capabilities in composite ...