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Jon Nordby

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Machine Learning on Microcontrollers; Tiny, Useful and FunAI_dev Europe 20252025-08-28
TinyML systems run inference on-device at under 1 W and often with under 1 MB RAM and a typical bill of materials under $10; emlearn exports scikit‑learn and…
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Machine Learning on Microcontrollers With Zephyr and EmlearnZephyr Developer Summit 20252025-08-25
emlearn converts scikit‑learn or Keras models into efficient C99 code with a one‑liner model‑to‑C export and a header‑only C library that integrates as a…
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Machine Learning on Microcontrollers With Zephyr and EmlearnOpen Source Summit Europe 20252025-08-25
Activity-recognition pipeline that reads IMU (accelerometer+gyro) windows, extracts simple stats, trains scikit-learn/Keras models, and deploys them as C…
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Microcontrollers + Machine Learning with MicroPython in 1-2-3PyData Global 20242024-12-03
MicroPython runs on tiny hardware (less than 1 MB RAM) and on an ESP32S3 ($2.5 chip, ~$6 board) that boots a Python prompt in ~30 seconds; examples show a…
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