“Since our launch in 2019, nearly 30,000 developers from thousands of enterprises have created over 50,000 custom ML projects using Edge Impulse, building smarter industrial, logistics, consumer and health solutions…”
…
“Edge Impulse was designed for software developers, engineers and domain experts to solve real problems using machine learning on edge devices without a PhD in machine learning. Check out the amazing cloud based UX, awesome documentation and open source SDKs.”
Looks like $54.4M total so far. When Edge Impulse started out, to me, the thing they did the best, or the intent I saw, was make it possible to make / train ML models with _some_ type of interface. When Limor and I wanted to make a simple word wake for a ML / Edge project (and not-internet connected device that could recognize a custom wake word), there wasn’t much, and it was really hard.
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Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: A New Arduino MicroPython Package Manager, How-Tos and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
