Hardware for artificial intelligence | Rich X Wiki Search

Back Hardver za veštačku inteligenciju Serbian

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)

This article needs attention from an expert in artificial intelligence. The specific problem is: Needs attention from a current expert to incorporate modern developments in this area from the last few decades, including TPUs and better coverage of GPUs, and to clean up the other material and clarify how it relates to the subject. WikiProject Artificial intelligence may be able to help recruit an expert. (November 2021)

This article is missing information about its scope: What is AI hardware for the purposes of this article? Event cameras are an application of neuromorphic design, but LISP machines are not an end use application. It previously mentioned memristors, which are not specialized hardware for AI, but rather a basic electronic component, like resister, capacitor, or inductor. Please expand the article to include this information. Further details may exist on the talk page. (November 2021)

This article needs to be updated. Please help update this article to reflect recent events or newly available information. (November 2021)

(Learn how and when to remove this message)

Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. Since 2017, several consumer grade CPUs and SoCs have on-die NPUs. As of 2023, the market for AI hardware is dominated by GPUs.^[1]

^ "Nvidia: The chip maker that became an AI superpower". BBC News. 25 May 2023. Retrieved 18 June 2023.

Rich TVX News Network Site

Rich TVX News Network Info

© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search