Edge Impulse
Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises.
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Edge Impulse is the leading development platform for edge machine learning used by over 40,000 developers across 65,000 projects worldwide.
Edge Impulse provides the ultimate development experience for ML on embedded devices for sensors, audio, and computer vision, at scale. It enables the deployment of highly-optimized ML on hardware ranging from MCUs to CPUs and custom AI accelerators.
With Edge Impulse, developers, engineers, and domain experts are equipped with the tool they need to solve their real-world problems using edge ML. The company specializes in smarter edge solutions for industrial, logistics, consumer, and health, with enterprises building applications for predictive maintenance, asset tracking and monitoring, and human and animal sensing.
Find out more about Edge Impulse's Edge Optimised Neural (EON) Compiler and to kick your tinyML into overdrive!
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News
Edge Impulse Named a 2022 Cool Vendor in Edge Computing by Gartner
We’re thrilled to announce that Edge Impulse has been named as an edge computing “Cool Vendor” by Gartner!
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Case Study
Advanced Grid Monitoring Solution, Powered by Edge Impulse
Edge Impulse, IRNAS and Arm developed and deployed embedded ML models to build the world’s most advanced grid monitoring system.
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Arm Tech Talk
Efficient ML across Arm from Cortex-M to Web Assembly
Jan Jongboom from Edge Impulse presents techniques for enabling efficient and explainable TinyML.
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Arm Tech Talk
EON Tuner: AutoML for Real-World Embedded Devices
Finding the best ML model for analyzing sensor data is not easy. In this hands-on session we’ll look at the EON Tuner, a tool available to all Edge Impulse developers, to pick the best model within the constraints of your Arm device.
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Arm Tech Talk
How to Run Object Detection on Arm Cortex-M7 Processors
In this session, you'll learn to perform object detection on all Arm MCUs with Edge Impulse FOMO.
FOMO (Faster Objects, More Objects) is a novel machine-learning algorithm that now enables object detection on all Arm microcontrollers.
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