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.

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 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 ...

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 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 ...