Green AI: Making Machine Learning Environmentally Sustainable • Charles Humble • YOW! 2025

Why watch

Charles Humble presents practical strategies for reducing the environmental impact of machine learning throughout the AI lifecycle. The talk covers measuring carbon footprint, using smaller datasets, transfer learning, model quantization, and leveraging renewable energy. Targeted at ML engineers, data scientists, and developers seeking to build more sustainable AI systems.