A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.
Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
This repository contains the artifact for the SC '25 paper submission "KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU." The NVIDIA GH200 is installed with Ubuntu 22.04 ...
A Change.org petition with more than 800 signatures is calling on the FDA to approve low-dose atropine to slow the progression of pediatric myopia.
A comprehensive, beginner-friendly, project-driven curriculum on Generative AI and Retrieval-Augmented Generation (RAG) Agents. Learn core concepts like prompt engineering, vector embeddings, chain ...
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