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Artificial IntelligenceNov 15, 20268 min read

Edge AI and TinyML Deployment Guide: Quantizing and Running Neural Networks on ARM Cortex-M MCUs

Practical engineering walkthrough for deploying deep learning models on resource-constrained microcontrollers. Explains INT8 post-training quantization, TensorFlow Lite for Microcontrollers (TFLM), and vibration anomaly detection.

Pawan PrajapatiEdge AI, TinyML

Robotics & AutomationNov 14, 202611 min read

Getting Started with STM32 Microcontrollers: Architecture, Memory Map, GPIO Registers & Bare-Metal C Guide

An exhaustive bare-metal engineering guide for STM32 ARM Cortex-M microcontrollers: memory mapping, AHB/APB bus matrix, RCC clock trees, and direct GPIO register manipulation in C.

Pawan PrajapatiSTM32, ARM Cortex-M

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Edge AI and TinyML Deployment Guide: Quantizing and Running Neural Networks on ARM Cortex-M MCUs

Getting Started with STM32 Microcontrollers: Architecture, Memory Map, GPIO Registers & Bare-Metal C Guide

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