Current location:Stellar Series news portal > business
Scientists develop fully integrated memristor chip with low energy consumption
Stellar Series news portal2024-05-22 10:49:08【business】6People have gathered around
Introduction(Xinhua) 10:54, October 12, 2023This photo taken on Jan. 18, 2020 shows the research team led by pro
This photo taken on Jan. 18, 2020 shows the research team led by professor Wu Huaqiang (C) at Tsinghua University in Beijing, capital of China. (Tsinghua University/Handout via Xinhua)
BEIJING, Oct. 11 (Xinhua) -- Chinese scientists have developed a fully integrated memristor chip with improved learning ability and low energy cost, according to a study recently published in the journal Science.
With artificial intelligence (AI) technology profoundly changing the way of production and life, learning becomes highly important for edge intelligence devices in order to adapt to different application scenarios.
However, current technologies for training neural networks require moving extensive data between the processor chip and off-chip main memory, which incurs massive energy consumption and hinders the learning process.
Based on 11 years of research, scientists from Tsinghua University developed a full-system-integrated chip consisting of multiple memristor arrays and all the necessary peripheral circuits to support complete on-chip learning.
"The chip integrates complete circuit modules to support autonomous learning, and it has successfully demonstrated various learning tasks including motion control, image classification and speech recognition," said Yao Peng, the co-first author of the study, from the School of Integrated Circuits, Tsinghua University.
According to the study, the chip can achieve autonomous learning with only about three percent of the energy consumption of the conventional application specific integrated circuits (ASIC) when running the same task.
The chip showed high energy efficiency and high accuracy in versatile AI tasks during the experiments, which can effectively strengthen the learning adaptability of intelligent devices in practical application scenarios, Yao said.
"This chip provides an innovative development path for AI hardware breakthroughs," said Gao Bin, a professor at Tsinghua University.
This study is an important step toward future chips with high energy efficiency and learning capabilities, said Wu Huaqiang, dean of the university's school of integrated circuits.
"We hope our findings will accelerate the development of future smart edge devices that can adapt to different application scenarios and owners," Wu added.
This image shows the fully integrated memristor chip and its test system. (Tsinghua University/Handout via Xinhua)
Address of this article:http://mayotte.priasejati.net/news-91d999814.html
Very good!(94)
Related articles
- Andretti Global makes key engineering hire in bid to earn a spot in Formula 1
- Official resigns after guilty plea to drug conspiracy in Mississippi and North Carolina vape shops
- Ryan Garcia reportedly wants 2nd drug sample tested after 1st was positive for banned substance
- Real Madrid clinch record
- Adela Cernousek of Texas A&M wins NCAA individual golf title for first collegiate win
- Preakness status of Kentucky Derby winner Mystik Dan remains unclear
- I was left with second
- What to know about the Penske scandal that has rocked IndyCar
- Hush money trial: Trump witness Costello back on the stand after admonishment
- Equestrian Beijing Masters to be held in October
Popular articles
Recommended
Rafael Devers sets team record by homering in 6th straight game as Red Sox top Rays 5
WNBA to begin full
Zelensky 'assassination plot foiled' as Ukraine detains two of its own counter
Big Ten women's basketball schedule brings USC, UCLA to conference's easternmost schools
How major US stock indexes fared Monday, 5/20/2024
David Beckham reveals his Netflix documentary director was mad at him over viral 'be honest' moment
3 arrested in NYC after driver strikes pro
WNBA to begin full
Links
- Zelensky counts on more Western defence aid for Ukraine in next two months
- Tāngarākau Gorge road to remain closed until mid
- Upgrades badly needed for PM's residence
- Snake entangled in fridge ice dispenser spotted by resident who thought hissing was air compressor
- EDITORIAL: Shinkansen extension raises concerns about costs, impact
- Prime Minister Christopher Luxon looks for Estonian inspiration
- Zelensky counts on more Western defence aid for Ukraine in next two months
- EDITORIAL: Top court ruling a step toward allowing same
- Alexei Navalny death: Team accuses Russia of 'hiding' his body
- Wellington water: Funding problems creating 'extreme residual risks'