INFUS 2026 Conference Theme

“Artificial Intelligence for a Sustainable Future: Driving Innovation in the Circular Economy”

The Circular Economy (CE) aims to minimize waste and make the most of resources through reuse, repair, remanufacturing, and recycling. However, achieving this system at scale requires data-driven intelligence and automated decision-making — areas where Artificial Intelligence (AI) plays a transformative role. AI technologies such as machine learning, computer vision, optimization algorithms, and intelligent sensing can enhance material tracking, product life extension, and process efficiency across circular value chains.

“Artificial Intelligence in Circular Economy” is an increasingly important research and practice area that combines AI technologies with sustainable production, consumption, and waste management systems to achieve resource efficiency and environmental resilience.

The conference focuses on exploring how artificial intelligence (AI) technologies can accelerate the transition toward a circular economy, where resources are reused, waste is minimized, and sustainability is embedded in every stage of production and consumption. Topics include AI-driven resource optimization, predictive maintenance for circular manufacturing, intelligent waste management, life-cycle assessment through machine learning, and data-driven sustainability strategies.

By bringing together researchers, practitioners, and policymakers, the conference aims to highlight the transformative potential of AI in closing material loops, enhancing green innovation, and building intelligent, resilient, and regenerative economic systems.