Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

Abstract: This work explores the potential of Quantum Matrix Multiplication (QMM) to accelerate several computational tasks, demonstrating substantial speedups. We present three distinct applications ...

This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...

Microsoft has teamed up with Barclays on a novel approach to tackling artificial intelligence (AI) and optimisation problems ...

QiMeng-GEMM is an innovative approach to automatically generate high-performance matrix multiplication (GEMM) code using LLMs. This codebase provides a comprehensive solution for efficiently computing ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Broadcom's AI-fueled growth, VMware integration, and hyperscaler demand put its Q3 earnings under intense Wall Street ...