TinyML is opening up incredible new applications for sensors on embedded devices, from predictive maintenance to health applications using vibration, audio, biosignals and much more! 99% of sensor data is discarded today due to power, cost or bandwidth constraints.
This webinar introduces why ML is useful to unleash meaningful information from that data, how this works in practice from signal processing to neural networks, and walks the audience through hands-on examples of gesture and audio recognition using Edge Impulse.
// 🧠 https://www.edgeimpulse.com
// 👉 https://www.hackster.io/news/tinyml-for-all-developers-with-edge-impulse-2cfbbcc14b90
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