AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Singapore's ST Engineering unveiled a prototype of its Rhino hybrid electric drive (HED) at the World Defense Show (WDS) 2026 ...

The companies will use artificial intelligence to optimize the interactions of drones with drones, and drones with humans.

Advanced nuclear is within reach—and a new digital twin reveals how smarter plant operations can enhance the economic ...

Companies need to make a shift from traditional IT project management to digital product management. Project-based approaches—whether waterfall or agile—have high failure rates, and emerging ...

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...