Despite the recent growth in all subsectors, progress in essential technologies supporting the lifecycles of RE systems lags behind. AI offers strategic advantages in overcoming the limitations of traditional methods which struggle to process the increasing complexity and big data in RE systems. It will enable decision-supporting digitalisation, operational efficiency optimisation, cost-effective integration, multi-scenario adaptability, and technological cross-applicability. Though there are some current critical masses in AI for RE, the communities are facing many challenges, e.g., the fragmented nature of the landscape, subsystem isolation, and limited scope.
SuperAIRE will address these challenges by enabling shared learning on common research challenges in different RE subsectors through promoting novel generic approaches complemented with refinements tailored to subsector’s unique needs; forging a holistic view to facilitate system-wide AI applications; and fostering comprehensive solutions that go beyond single-task focuses to exploit the full potential of AI in enhancing the RE ecosystem.
SuperAIRE will contribute to the UK’s AI and RE sectors and Net Zero Strategy in the following ways:
Based on the current critical mass and emerging gaps, we propose six research themes (RTs) to steer our activities, e.g. in guiding discussions, identifying challenges and opportunities, defining future research priorities, shaping the research landscape, and developing the whitepaper. SuperAIRE’s initiatives will however extend beyond these initial RTs. They will be subject to continuous reinforcement, broadening, and fine-tuning over the network’s lifetime.
