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

In modern computing, solving complex optimization problems has always been a significant challenge. Recently, a research team from Canada developed a new type of photonic Ising machine capable of ...

Microsoft has teamed up with Barclays on a novel approach to tackling artificial intelligence (AI) and optimisation problems based on a scalable analogue optical computer (AOC) architecture, designed ...

Analysis OpenAI is allegedly developing a custom AI accelerator with the help of Broadcom in an apparent bid to curb its ...

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

Santa Clara-based startup d-Matrix looks to replace HBM in AI inference with 3DIMC, or 3D digital in-memory-compute. The ...

Detailed price information for Marvell Technology Inc (MRVL-Q) from The Globe and Mail including charting and trades.

This project implements various sparse matrix computations in CUDA and C++. It includes conversion routines between sparse matrix formats and efficient CUDA kernels for Sparse Matrix-Vector ...

This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...

Abstract: In this tutorial we briefly review the fundamentals of analog computing. Starting from the historical use of operational amplifiers to solve differential equations, we show how today the ...

Abstract: Beyond the high-profile artificial intelligence and machine learning ($\mathrm{AI} / \mathrm{ML}$) workloads, the demand for high-performance matrix operations on standard and complex ...