Distributed Evolutionary Computation for Green AI. Despite the tremendous benefits and advantages of artificial intelligence (AI), its growing carbon footprint has emerged as a significant concern. Th

Description

Distributed Evolutionary Computation for Green AI. Despite the tremendous benefits and advantages of artificial intelligence (AI), its growing carbon footprint has emerged as a significant concern. This project aims to develop a distributed evolutionary computation framework to optimize AI's carbon footprint. The project's objectives include advancing knowledge in the areas of green AI, carbon footprints, and computational intelligence. Expected outcomes include precise measurement of AI's carbon emissions, distributed differential evolution algorithms, and cooperative co-evolutionary strategies. This project benefits the nation by promoting sustainable AI technologies, protecting the environment, conserving energy resources, and advancing progress towards the 2025 net-zero goal.. Scheme: Linkage Projects. Field: 4605 - Data Management and Data Science. Lead: Prof Hua Wang