New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Abstract: There has been significant recent work on solving PDEs using neural networks on infinite dimensional spaces. In this talk we consider two examples. First, we prove that transformers can ...
ABSTRACT: In shape optimization, we often seek to optimize the shape of a domain in order to achieve a goal. For example, the sound of a drum depends on the shape of its membrane, via the eigenvalues ...
The researchers’ device applies principles of neural networking to an optical framework. As a wave encoded with a PDE passes through the ONE’s series of components, its properties gradually shift and ...
Partial differential equations (PDEs) are workhorses of science and engineering. They describe a vast range of phenomena, from flow around a ship’s hull, to acoustics in a concert hall, to heat ...
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