top: The main module for interfacing input and output signals and managing the processing unit. Activation: Implementation of the activation function that compares the input value against a threshold.

I got stuck with the following. I read the documentation and study the source code. The later, up to a certain degree. I have a covariance matrix A that I would like to rotate by C. The covariance and ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Israeli startup Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...

Israeli start-up Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...

Abstract: Resistive cross-point array can be used to implement vector-matrix multiplication in analog fashion. However, the output is in the form of analog current, and thus requires A/D conversion ...