Abstract: We propose a hardware-efficient optical matrix processor based on low-rank approximation, utilizing narrowband filters of microring resonators (MRRs) and broadband Mach-Zehnder ...
Abstract: This paper addresses the significant challenge of executing inference tasks involving General Matrix Multiplication (GEMM) in deep neural networks(DNN) on resource-constrained edge systems.
Mathly for Lua is a Lua module that turns Lua into a tiny, portable, free but powerful MATLAB and more. It provides a group of commonly used MATLAB functions and features, including linspace, zeros, ...
Abstract: Pseudo-random number generators (PRNGs) are widely measurement applications, including ADC nonlinearity correction, data communications, and noise emulation. The high sensitivity of system ...
Recognition highlights Genpact's AI-first, front-to-back banking operations capabilities across lending, payments, and servicing to deliver banking transformation NEW YORK, Jan. 22, 2026 /PRNewswire/ ...
Abstract: This paper aims to address electromagnetic scattering problems in multiple bodies of revolution (MBoR) through a hybrid heterogeneous acceleration framework derived from equivalence ...
Matrix Plastic Products, a custom manufacturer serving the medical device industry, is expanding its operations to a larger facility to meet growing customer demand, increase manufacturing capacity, ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
Abstract: With the rapid development of quantum computing technology, traditional public key cryptographic systems face serious threats. Post-quantum cryptographic algorithms have become an important ...
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