AI for sustainable operations and circular economy
Focusing on using AI to optimise manufacturing processes, operations, and supply chains for sustainability by:
- reducing waste and energy use
- improving resource efficiency, waste management, and recycling
- developing more sustainable products, packaging, and service delivery models within a circular economy framework
AI for transportation and logistics
Using AI to optimise transportation and logistics operations for sustainability, including:
- reducing energy and resource use
- improving smart mobility services
- developing more sustainable transportation systems
AI for sustainable energy and buildings
Optimising and improving the management of sustainable energy technologies such as:
- solar, wind, and hydro, which includes forecasting and predicting energy demand
- improving efficiency and reducing costs
- smart grid and energy markets and managing energy use in smart buildings
AI for biodiversity
Using AI to protect and conserve biodiversity, including:
- monitoring and predicting changes in ecosystems
- identifying and mitigating threats to endangered species
- developing sustainable agricultural, fisheries, and land management practices
Sustainable AI
This includes:
- reducing the power consumption that is associated with the use of AI
- investigating creating more efficient algorithms
- introducing fundamentally different approaches at the hardware level using Southampton's world-leading nanofabrication facilities.