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  1. MCUs, NPUs, CPUs, GPUs. Build datasets, train models, and optimize libraries to run directly on device; from the smallest microcontrollers to gateways with the latest neural accelerators (and anything in between). The world’s most innovative companies choose Edge Impulse. Read our case studies.

  2. Edge Impulse is the leading edge AI platform for collecting data, training models, and deploying them to your edge computing devices. It provides an end-to-end framework that easily plugs into your edge MLOps workflow.

  3. Welcome to Edge Impulse! We enable professional developers and researchers to create the next generation of intelligent products with Edge AI. In this documentation, you'll find user guides, tutorials, and API documentation.

  4. edgeimpulse.com › blogEdge Impulse

    Jul 18, 2024 · Edge Impulse. . The internet’s authority on embedded machine learning. All posts. Projects. edge ai. Impulse Experiments: Revolutionize Your AI Project Workflow. Accelerate your project development cycles by experimenting with different impulses simultaneously — along with many other upgrades. By Jenny Plunkett Jul 29, 2024. edge ai.

  5. Edge Impulse empowers ML teams to run AI at peak performance on any edge hardware, with unmatched ease and speed.

  6. Edge Impulse empowers you to bring intelligence to your embedded projects by enabling devices to understand and respond to their environment. Whether you want to recognize sounds, identify objects, or detect motion, Edge Impulse makes it accessible and straightforward.

  7. www.linkedin.com › company › edgeimpulseEdge Impulse | LinkedIn

    Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products. Our technology empowers developers to bring more AI products to market...

  8. Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises. Founded in 2019 by Zach Shelby and Jan Jongboom, we are on a mission to enable developers to create the next generation of intelligent devices.

  9. An impulse takes raw data, uses signal processing to extract features, and then uses a learning block to classify new data. Processes discrete images for object detection or classification. Operates on time series sensor data like vibration or audio data. Lets you slice up data into windows.

  10. We’re building the future of data-driven engineering. Edge Impulse is ushering in the future of embedded machine learning by empowering developers to create and optimize solutions with real-world data.

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