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

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

This study introduces a newly optimized triangular-finger electrostatic comb-drive actuator designed to significantly enhance force intensity and travel range within a compact footprint.

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

To meet the growing demand for high-performance, lightweight, and intelligent materials in the aerospace, automotive, and energy/power sectors, engineering ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...