is the intersection of machine learning and embedded systems, enabling complex models to run on ultra-low-power devices like microcontrollers that typically have less than 1MB of RAM . Using TensorFlow Lite for Microcontrollers (TFLM) , developers can deploy AI that processes data locally, offering near-zero latency, enhanced privacy, and months of battery life. 🚀 Key Projects & Applications
TinyML transforms simple sensors into intelligent decision-makers across various domains: TinyML Machine Learning with TensorFlow Lite on...
