Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...
FireBeetle 2 ESP32-C5 IoT development board offers GDI display interface, LiPo battery support, 18x GPIO, USB-C port, and ...
Learn how HUSKYLENS 2 simplifies AI vision with its dual-core processor, modular hardware, and compatibility with popular ...
He Chunhui (hchunhui) has developed the Tiny386 x86 PC emulator in C (C99) and managed to run Windows 3.1/3.2 and Windows 95 ...
Arduino announced it has collaborated with M5Stack to develop the new compact and powerful Nesso N1 IoT development kit. This ...
TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.
Some people may remember the joys of trying to boot Linux on an 8-bit AVR microcontroller, which was an absolute exercise in ...
Over time, I've found different uses for it, and the most recent way that I'm using it is likely the one I'll settle on.
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
Contents presented in the Microcontrollers Laboratory Course; Microcontrollers used: Arduino UNO R3 & DOIT ESP32 DEVKIT V1 - CSE Department, Shiraz University, Spring 2025.