Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
Abstract: Integrated Sensing and Communication (ISAC) has emerged as a promising approach to improve resource efficiency in wireless systems, particularly for radar and communication functions.
NEW YORK, March 03, 2026 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a global data and AI company, has been named a Leader in the Everest Group Customer Experience (CX) Services in Insurance Operations ...
Carenet Health, a leader in healthcare engagement, has been named a Major Contender in the Everest Group Healthcare Payer Intelligent Operations PEAK Matrix® Assessment 2026. Everest Group evaluated ...
In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
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.
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 ...
Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...
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