DE · Topics · Resources · Simulate · Sponsored Content

Using Synthetic Datasets to Train Embedded AI

This study demonstrates training and validating embedded AI algorithms using synthetic datasets derived from large numbers of parametric cloud simulations.

Using synthetic datasets to train AI is a fast, cost effective way to deploy robust embedded algorithms for new hardware technologies. Synthetic datasets generated from cloud simulations can be created in hours using the OnScale platform, compared to weeks or months to create similar datasets from physical experimentation.

This whitepaper discusses how an embedded AI algorithm for 3D smartphone touchscreens was trained and validated using the results of 8,000 simulations run in parallel on AWS. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.

OnScale is fully cloud-enabled, empowering engineers with the high-performance computing (HPC) resources needed to explore their design space quickly and with ease. Semiconductors, MEMS, sensors, medical devices, and 5G and IoT RF systems are among the many applications that can benefit from design and optimization with OnScale. To learn more visit onscale.com/applications.

Contents

  • Problem: 3D touch technology operation
  • Introduction: Using Synthetic Datasets to Train Embedded AI
  • Approach: Simulating a synthetic data set & AI training
  • Results: AI Performance

Fill out the information below to download the resource.

By downloading this content, I agree to receive the DE 24/7 Newswire, a twice weekly free email newsletter (you may choose to opt-out in the newsletter).

Latest News

{if embed:display == 'small'}
Dassault Systèmes Announces Winners of India-Based Product Design Competition
{if embed:display == 'small'}
AAKRUTI Global 2024 aims at giving young engineers a platform to showcase ingenuity, innovation, and creative engineering skills with Dassault Syst�...

NCDMM Soliciting RFI on Advancing Metal Alloy Systems
Aim is to explore development and transition of metallic alloys and manufacturing processes to potentially enhance capabilities of defense platforms...

BMF Opens Lab for Testing and Manufacturing of Zirconia Veneers
Expanded service enables dentists to offer thin cosmetic dental veneers across the United States, company reports.

Continuum Powders Qualifies Reclaimed Metal Powders
As part of this collaboration, Continuum Powders has qualified its metal powders for use on specific Renishaw AM machines.

Golf Driver Powered by Altair Technology
Cleveland Golf utilized products within the Altair HyperWorks platform for its golf driver.

Carbon Unveils EPU Pro Platform
Company showcased updates at Formnext.

All posts