In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

How can components be designed for an optimal balance of minimal weight and maximum robustness? This is a challenge faced by ...

Electromagnetic (EM) wave front modulation has important significance in both scientific researches and industrial applications. However, conventional dielectric materials have limited choices of ...

In this paper we test different conjugate gradient (CG) methods for solving largescale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating ...

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

Inference optimization startup Luminal has announced $5.3 million in a seed funding round led by Felicis Ventures, with angel ...