About This workshop
This intensive workshop delves into the critical area of sustainable AI, focusing on deploying machine learning models directly onto edge devices with minimal energy consumption. Participants will gain practical experience in optimizing TensorFlow Lite and PyTorch Mobile models for resource-constrained hardware, such as microcontrollers and Raspberry Pis. We will cover techniques like model quantization, pruning, and efficient neural network architectures designed for low-power operation. The goal is to equip developers with the skills to build environmentally responsible AI solutions, making a tangible impact on the carbon footprint of emerging IoT applications. Join us to transform your AI projects into eco-friendly innovations.
