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.

Abstract: In intelligent connected vehicle applications, tasks, such as path planning and health management involve numerous matrix operations, particularly matrix multiplication. Due to limited ...

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

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 ...

President Trump has been briefed on a wide array of military and covert tools that can be used against Iran that go well beyond conventional airstrikes, according to two Defense Department officials ...

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, ...

In grade school, many students learn the “Reduce, Reuse, Recycle” song as part of curriculum surrounding Earth Day. In the beverage industry, sustainability and reuse remain important factors, ...

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 ...