Carbon Footprint

Carbon footprint assessment is crucial for understanding and mitigating the environmental impact of increasingly energy-intensive artificial intelligence (AI) applications. Current research focuses on accurately quantifying the carbon emissions across the entire lifecycle of AI models, from training and inference to data generation and hardware manufacturing, employing techniques like graph neural networks and machine learning for prediction and optimization. This work is vital for promoting sustainable AI development, informing responsible resource allocation, and enabling the creation of more environmentally friendly AI systems across diverse sectors like banking, healthcare, and manufacturing. The development of carbon-aware algorithms and frameworks is a key area of focus, aiming to balance computational performance with reduced environmental impact.