Eta Compute, Edge Impulse Partner for Faster Development, Deployment of Machine Learning at the Edge

By Tiera Oliver

Associate Editor

Embedded Computing Design

May 12, 2020

News

Eta Compute, Edge Impulse Partner for Faster Development, Deployment of Machine Learning at the Edge

The partnership will contribute to the development process from concept to production for embedded machine learning in micropower devices.

Eta Compute and Edge Impulse announced that they are partnering to accelerate the development and deployment of machine learning using Eta Compute’s ECM3532 and Edge Impulse’s online TinyML platform

The partnership was created to speed the time-to-market for machine learning in IoT, consumer, and industrial products where battery capacity has been a roadblock.

Eta Compute’s ECM3532 ultra-low power Neural Sensor Processor SoC enables machine learning at the edge, and its ECM3532 EVB evaluation board is now supported by Edge Impulse’s end-to-end ML development and MLOps platform. Developers can register for free to gain access to advanced Eta Compute machine learning algorithms and development workflows through the Edge Impulse portal.

Cortex and CMSIS-NN technology, and the SaaS TinyML solutions from Edge Impulse, provides developers a solution for bringing power efficient, edge, or endpoint ML products to market.

For more information, visit EtaCompute.com or EdgeImpulse.com

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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