Why reinvent the CPU wheel when you can spend your time engineering a way out of your dependence on Nvidia? Every quarter, ...

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

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

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

This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...

Because chromem-go is embeddable it enables you to add retrieval augmented generation (RAG) and similar embeddings-based features into your Go app without having to run a separate database. Like when ...

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

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 ...