Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Eta Compute’s Machine Learning Platform Comes Home a Double Award Winner from Arm TechCon 2018

Supporting Speech, Image and Video, Wins Design Innovation of the Year and Best Use Of Advanced Technologies

Eta Compute Inc., a company dedicated to delivering machine learning to mobile and edge devices using its revolutionary new platform, announced it received two significant industry awards at Arm TechCon last week, Best Use Of Advanced Technologies and Design Innovation Of The Year.

Read More: Interview with Angel Gambino, CEO and Founder of Sensai

The recently announced TENSAI AI platform based on the Arm Cortex-M3 processor received the Arm TechCon Best Use Of Advanced Technologies award for delivering an image classification neural network (CNN) consuming only 0.4mJ per image. A previous published design running the same CNN on a different processor consumed 13mJ per image, a 30X increase in energy consumption.

Related Posts
1 of 10,119

Read More: Palo Alto Networks Appoints Amit K. Singh as President

“As the Internet of Things expands and we move towards our vision of a trillion connected devices, more and more intelligence will move to the edge,” said Thomas Ensergueix, senior director, Embedded and Automotive Line of Business, Arm. “Eta Compute’s platform enables machine learning at the edge for applications with extremely constrained power budgets, using one of the most popular Cortex-M processors to date, having shipped in billions of devices.”

“These two Arm TechCon awards validate that Eta Compute’s edge machine learning platform performs significantly better than other proposed solutions,” said Lip-Bu Tan, Chairman of Walden International.

Read More: Interview with Jeffrey Kofman, CEO and Founder at Trint

3 Comments
  1. Iron repurposing services says

    Metal waste recycling solutions Ferrous material recycling industry analysis Iron recovery and reclaiming yard

    Ferrous material recycling facilities, Iron salvaging depot, Metal waste market analysis

  2. Copper scrap dealer says

    Copper scrap packaging and labeling Copper scrap sustainability practices Scrap collection network
    Copper cable refining, Sustainable practices in metal recovery, Export procedures for Copper scrap

  3. Scrap metal disposal center Ferrous waste refabrication Scrap iron recycling services

    Ferrous material recovery systems, Iron waste recycling center, Metal salvage yard solutions

Leave A Reply

Your email address will not be published.