Tag - TensorFlow Lite Micro

ESP32-S3 Edge AI in Practice: Deep Optimization of TensorFlow Lite Micro Inference Performance

Deep dive into ESP32-S3 TinyML optimization, covering TFLM setup, INT8 quantization, memory tuning, PSRAM trade-offs, and real-world performance limits.

AI and Machine Learning, Blog, Edge Computing and Data Analytics, Embedded System Development , February 17, 2026 , embedded AI, ESP32-S3, Firmware Optimization, IoT Hardware, TensorFlow Lite Micro, TinyML

ESP32 Edge AI Architecture: OTA, INT8, and Inference Guide

A deep dive into ESP32 edge AI architecture, covering OTA design, INT8 inference, memory constraints, and production considerations for long-running devices.

Blog, Edge Computing and Data Analytics, Embedded System Development , February 10, 2026 , Edge AI, embedded AI, ESP32, Firmware Architecture, IoT Device Design, OTA Update, TensorFlow Lite Micro

From Wake Word Detection to Edge Intelligence: The Technical Potential of ESP32-S3 TensorFlow Lite Micro

Learn how ESP32-S3 TensorFlow Lite Micro enables edge AI and wake word detection with on-device inference for embedded and IoT devices.

Blog, Edge Computing and Data Analytics , October 29, 2025 , Edge Intelligence, embedded AI, ESP32-S3, On-device Inference, TensorFlow Lite Micro, Wake Word Detection