A 28.9M parameter large language model has been deployed on an $8 microcontroller, demonstrating that specialized tiny models can handle basic logic and text generation on low-cost edge hardware. The …
A developer built a real-time arrhythmia detector using TinyML on an ESP32 microcontroller, processing raw ECG data locally with TensorFlow Lite for Microcontrollers. The system uses a quantized 1D-CN…
DeepGate released v0.15.0 of its edge AI compiler, which compiles quantized .tflite models into static binaries that use up to 3× less RAM and run up to 2× faster than Google's TensorFlow Lite for Mic…
A developer built a 3.7 kB edge AI smoke detector in pure C, using a neural network that runs on ultra-low-power microcontrollers like the ESP32. The model monitors 12 environmental variables in paral…