Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

(CS 213 or (CE 205 & 211)) or MS CS/CE or PhDs CS/CE or permission of Instructor. CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures ...

The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture ... these tasks involve computing elements of the Mandelbrot Set.

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

Statistical computing is undergoing a transformative phase, driven by innovations in architecture, scalability, and ...

Get to know the basics of an HPC system. Users will learn how to work with common high performance computing systems they may encounter in future efforts. This includes navigating filesystems, working ...

Useful quantum networks are hobbled by the problem of decoherence from environmental "noise." But a new breakthrough could ...

The University of Edinburgh has announced the installation of an AI cluster consisting of four CS-3s using Cerebras’s 3rd generation of Wafer Scale Engine processors Operated by the Edinburgh Parallel ...