Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

The process reduces manufacturing time by 20% and opens the door to serial production of complex nuclear components.

Snaptrude has been pouring its AI investment into the conceptual and schematic design phases wherelegacy tools offer the ...

The idea of building a machine from isolated parts, each with its own setup and software, no longer fits how modern automation works.

Treating compressed air as a design element is the key to unlocking the next generation of manufacturing innovation.

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...

Vinci announced the availability of its second core physics capability: thermo-mechanical simulation that predicts “warpage” in hardware designs.

DigiMEP, was designed to digitize HVAC diagnostics, service verification, and lifecycle performance tracking across distributed property assets. Davis positions this shift not as an incremental ...

From hypersonic aircraft to nuclear-powered submarines, many of today's most advanced defense systems rely on a special class of materials known as refractory alloys. This class refers to metals that ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated agentic AI into computational fluid dynamics (CFD) to optimize the aerospace ...

Don’t start with moon shots. by Thomas H. Davenport and Rajeev Ronanki In 2013, the MD Anderson Cancer Center launched a “moon shot” project: diagnose and recommend treatment plans for certain forms ...