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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.
Join our thriving community of over 100,000 innovators and start your edge AI journey today. Create an account and let's shape the future together!
Teach edge machine learning using Edge Impulse. The Edge Impulse University Program empowers educators from around the world to train the next generation of edge machine learning professionals. We are no longer taking applications for kits.
Edge Impulse empowers ML teams to run AI at peak performance on any edge hardware, with unmatched ease and speed. Get started. Let's talk! The world’s most innovative companies partnered with Edge Impulse. # Quick integration for any Python script. import edgeimpulse as ei. # 1. Set API key from Edge Impulse project. ei.API_KEY = "ei_dae2..." # 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.
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. If at any point you have questions, visit our forum.
Explore real-world edge ML projects. See what the community is building and share or clone your own!
Ready to begin? Follow these simple steps to embark on your Edge Impulse journey: 1. Sign up. Start by creating an Edge Impulse account. It's free to get started, and you'll gain access to all the tools and resources you need. 2. Create a project. Once you're logged in, create your first project.
Edge Impulse is ushering in the future of embedded machine learning by empowering developers to create and optimize solutions with real-world data.
