Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant cryptography, Microchip Technology Inc. (Nasdaq: ...

Technical Lead and Lead Designer at the University of Southern California (USC), where she plays a key role in two California ...

As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant ...

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...

Solution also includes a new COM/Python API that exposes the simulation engine to external automation, the company explains..

Whether you’ve planned for it or not, your business is heading for digital transformation. As a way to remain competitive and respond to changes in consumer demand, companies need to explore how their ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...

Intel, IBM and MythWorx are shrinking AI to run on 20 watts, the same power as the human brain. Inside the neuromorphic race ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...