Nonlinear functions defined over finite fields lie at the heart of modern algebraic design, with wide-ranging influence from cryptography to coding theory. Such functions depart from linear or affine ...
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
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