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;}”]

Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge

Engagement Leverages Synopsys’ DesignWare IP, Verification Continuum, and Fusion Design Solutions to Accelerate Development of SiMa.ai MLSoC Platform

Synopsys, Inc. announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge. Through this engagement, SiMa.ai has adopted key products from Synopsys DesignWare IP, Verification Continuum Platform, and Fusion Design Platform for the development of their MLSoC, a purpose-built machine-learning platform targeted at specialized computer vision applications, such as autonomous driving, surveillance, and robotics.

Recommended AI News: Medical Knowledge Group Continues Growth With Acquisiton Of Magnolia Innovation To Provide Expanded Services To Biopharmaceutical Industry

SiMa.ai selected Synopsys due to its expertise in functional safety, complete set of proven solutions and models, and silicon-proven IP portfolio that will help SiMa.ai deliver high-performance computing at the lowest power. With Synopsys’ automotive-grade solutions, SiMa.ai can accelerate their SoC-level ISO 26262 functional safety assessments and qualification while achieving their target ASILs.

Related Posts
1 of 41,050

“Working closely with top-tier customers, we have developed a software-centric architecture that delivers high-performance machine learning at the lowest power. Our purpose-built, highly integrated MLSoC supports legacy compute along with industry-leading machine learning to deliver more than 30x better compute-power efficiency, compared to industry alternatives,” said Krishna Rangasayee, founder and CEO, at SiMa.ai. “We are delighted to collaborate with Synopsys towards our common goal to bring high-performance machine learning to the embedded edge. Leveraging Synopsys’ industry-leading portfolio of IP, verification, and design platforms enables us to reduce development risk and accelerate the design and verification process.”

Recommended AI News: Building A Private Database-As-A-Service Is Emerging As A Prime Alternative To Managed Cloud Databases

“We are pleased to support SiMa.ai as it brings MLSoC chip to market,” said Manoj Gandhi, general manager of the Verification Group at Synopsys. “Our collaboration aims to address SiMa.ai’s mission to enable customers to build low-power, high-performance machine learning solutions at the embedded edge across a diverse set of industries.”

Since SiMa.ai’s inception it has strategically collaborated with Synopsys to support all aspects of their MLSoC architecture design and verification.

Recommended AI News: NEC Selects NXP RF Airfast Multi-Chip Modules For Massive MIMO 5G Antenna Radio Unit For Rakuten Mobile In Japan

1 Comment
  1. Copper alloys says

    Scrap copper sales and marketing Copper scrap environmental regulations Scrap metal processing
    Copper cable recycling methods, Scrap metal repurposing strategies, Environmental compliance in copper recycling

Leave A Reply

Your email address will not be published.