Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Cauchy problems and inverse problems in partial differential equations (PDEs) represent a class of challenging mathematical models where one seeks to determine unknown data inside a domain from ...
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World’s first neuromorphic supercomputer nears reality with brain-inspired math
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
Introductory course on using a range of finite-difference methods to solve initial-value and initial-boundary-value problems involving partial differential equations. The course covers theoretical ...
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