EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

The industrial machinery landscape is rife with unprecedented challenges—supply chain shortages, labor scarcity and entrepreneurial market disruptions. At the same time, machine builders are tackling ...

Designed for creating complex composites parts with high precision and efficiency, the C1.2 is versatile and can handle multiple materials, including thermoset and thermoplastic prepregs, as well as ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...

The digital twin represents the full machining environment in a digital space, including the workpiece, stock, fixtures and cutting tools. The more complex a machine tool is, the more value can be ...

The PackML automation standard is used in the packaging machine industry to transfer and receive consistent data between machines on a packaging line. While it's well known to machine builders, it ...