Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

This study presents a computationally efficient model predictive torque control (MPTC) method for permanent magnet synchronous machines (PMSMs). The existing MPTC methods require solving complex ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Powered by differentiable imaging, Uncertainty - Aware Fourier Ptychography (UA - FP) revolutionizes computational imaging.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

One of the most widely used techniques to make AI models more efficient, quantization, has limits — and the industry could be fast approaching them. In the context of AI, quantization refers to ...

Nowadays, conducting detailed numerical simulation of power electronic (PE) converters is time-consuming due to the iterative solution of nonlinear equations. While simplified numerical models can ...

The presented work discusses the implementation, verification, and validation of Park's two-temperature model in a scalable, computational fluid dynamics (CFD) code developed at the US Department of ...