TechBriefly
  • Tech
  • Business
  • Crypto
  • Science
  • Geek
  • How to
  • About
    • About TechBriefly
    • Terms and Conditions
    • Privacy Policy
    • Contact Us
    • Languages
      • 中文 (Chinese)
      • Dansk
      • Deutsch
      • Español
      • English
      • Français
      • Nederlands
      • Italiano
      • 日本语 (Japanese)
      • 한국인 (Korean)
      • Norsk
      • Polski
      • Português
      • Pусский (Russian)
      • Suomalainen
      • Svenska
  • FAQ
    • Articles
No Result
View All Result
 Hot Topics:
  • Funny notes on Instagram
  • What is Snapchat planets order?
  • Best free AI art generators
  • Instagram Notes ideas
  • Elon Musk & Twitter
TechBriefly
No Result
View All Result
Home Tech AI

Google says its AI already designs machine learning chips faster than humans

by Barış Selman
11 June 2021
in AI, Tech
Reading Time: 2 mins read
Google says its AI already designs machine learning chips faster than humans
Share on FacebookShare on Twitter

What takes humans months to do, Google’s artificial intelligence does in six hours. That’s the claim Google makes about its AI capable of designing machine learning chips “comparable or superior” to those made by humans. After years of experiments, we will see the first commercial product in this regard shortly: Google’s upcoming TPU chips have been designed by an AI.

That Google uses its AI to design AI-optimized chips is no secret. However, it now appears that they have stopped experimenting and applied it to real products. They have also taken the opportunity to publish a study in Nature explaining development.

The great advantage that AI seems to bring to chip design is speed. According to Google, the great time savings implied by using the algorithm to design instead of humans could have important implications for the industry. In principle, it should make it possible to speed up design iterations for upcoming chips and quickly design chips for specific uses for which they are optimized.

Where AI seems most likely to have an impact is in planning the placement of elements on the chip. This process is essentially choosing where on the chip surface each element (CPU, GPU, memory…) goes. This is essential, as it directly affects the speed and efficiency of the chip depending on how far away each element is from the others.

Google says its AI already designs machine learning chips faster than humans
Google says its AI already designs machine learning chips faster than humans

While this is a problem of months of effort for humans, artificial intelligence takes it as a game. It interprets each element of the chip as a game piece and seeks to place it in the most efficient location, always taking into account all the other pieces and multiple other factors. After a few hours, it offers the most computationally efficient position of the set of elements in the given limit.

To train the AI, Google says it gave it data from 10,000 chip designs of higher and lower quality. Each chip was labeled according to its quality and taking into account values such as the length of wiring required or power usage. In this way, the AI learned which designs are good and which are not, and then generated their own.

Tags: AIchipsdesignfasterfeaturedGoogleSays

Related Posts

AI prompt engineering: Master guide

AI prompt engineering: Master guide

What is the beauty filter on TikTok

What is the beauty filter on TikTok and how to get it?

Shutterstock AI Generator

Shutterstock stepped into the world of AI

Selling cars becomes easier with Google vehicles for sale

Selling cars becomes easier with Google vehicles for sale

POPULAR

Soldier poet king quiz TikTok
Social Media

Soldier poet king quiz: TikTok trend explained

ai music generator open ai jukebox
AI

AI music generators take on a whole new dimension with Open AI Jukebox

What is Snapchat planets order?
How to

What is Snapchat planets order?

Bane of Dragons ESO
How to

Bane of Dragons ESO: How to complete the quest?

Witcher 3 manual save not working
How to

Witcher 3 manual save not working: How to fix it?

Fortnite Rarity Check Augment
How to

Fortnite Rarity Check Augment explained

Division 2 crashing: How to fix it (2023)?
How to

How to fix Division 2 if it keeps crashing in 2023?

ChatGPT is at capacity right now: Too many requests in 1 hour try again later (Fixed)
How to

Too many requests in 1 hour try again later (Fixed): ChatGPT is at capacity right now

How to hide retakes on BeReal?
How to

How to hide retakes on BeReal?

Instagram links not working 2023: How to fix it?
How to

Instagram links not working 2023: How to fix it?

RSS Digital Report

  • Tips and tools for DIY digital marketing
  • Rundown of Uber’s marketing strategy
  • Tips and tricks for chatbot marketing
  • The Forex movement in 2023 vs crypto
  • How big companies are using AI in marketing?
  • Get the best features of public and private platforms with hybrid blockchains
  • Best SEO practices for financial services to improve Google rankings
  • How much do SEO specialists make?
  • A comprehensive guide on ethical SEO to boost rankings
  • SEO: How does page speed affect your rankings?

RSS Latest from LeaderGamer

  • Stardew Valley developer reveals new information about Witchbrook
  • Wordle TR 30 Ocak 2023 günün cevabı
  • Horizon Forbidden West Multiplayer Alpha gameplay footage released
  • Hogwarts Legacy won’t leave much freedom in wand choice
  • En iyi bilim kurgu filmleri – En iyi 20 bilim kurgu filmleri
  • Former Valve employees talk about internal issues
  • Problem with Diablo 4 release date
  • What is Google AdSense?
  • Dead Space Impossible mode rewards
  • Hint for Dead Space 2 Remake is in Dead Space
TechBriefly

© 2021 TechBriefly is a Linkmedya brand.

  • Tech
  • Business
  • Science
  • Geek
  • How to
  • About
  • Privacy
  • Terms
  • Contact
  • LeaderGamer
  • FAQ

Follow Us

No Result
View All Result
  • Tech
  • Business
  • Crypto
  • Science
  • Geek
  • How to
  • About
    • About TechBriefly
    • Terms and Conditions
    • Privacy Policy
    • Contact Us
    • Languages
      • 中文 (Chinese)
      • Dansk
      • Deutsch
      • Español
      • English
      • Français
      • Nederlands
      • Italiano
      • 日本语 (Japanese)
      • 한국인 (Korean)
      • Norsk
      • Polski
      • Português
      • Pусский (Russian)
      • Suomalainen
      • Svenska
  • FAQ
    • Articles