An adjoint-based shape optimization approach for the inverse design of microwave components is proposed. The proposed approach is a pure postprocessing process that only needs the field solutions. It ...

Nothing’s original Glyph Interface was the perfect level of gimmick — it added a bit of flair to the back of its first few phones, but always felt like it had a purpose. I trusted it for everything ...

Forbes contributors publish independent expert analyses and insights. Zak Doffman writes about security, surveillance and privacy. “The password era is ending,” says Microsoft, confirming its intent ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

The internet became a thing just over four decades ago, and has now transformed into an essential service that connects billions of people worldwide. Every major industry, including healthcare, ...

Arceon (Delft, Netherlands) produces a family of ceramic matrix composites (CMC) called Carbeon which comprise uncoated carbon fiber reinforcement in a carbon-silicon carbide matrix (C/C-SiC) made ...

Hi, I tried to use the following code to test the effects of using adjoint method import torch import torch.nn as nn from torchdiffeq import odeint_adjoint as odeint import time class ...

Several major retailers in the U.S. use a century-old accounting practice known as “the retail inventory method,” which relies on retail prices to estimate inventory, even though it fails to take full ...

A team of researchers from the University of Rochester, Yale University, and Princeton University has made a big stride in neuroscience. They have shown a method to induce learning through the direct ...