Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)

Expected Outcome:The Apply AI Strategy[1] proposes a comprehensive set of measures to notably harness the transformative potential of AI. It lays down targeted measures to boost AI use in key strategic sectors of the EU economy including healthcare, mobility and manufacturing for example. With challenges designed to spark breakthroughs in such strategic sectors, the current topic will directly support key activities of the Apply AI Strategy.Project results are expected to contribute to all of the following expected outcomes:Significant technological progress and innovation in Apply AI Strategy's prioritised sectors driven by challenge-oriented, AI-powered solutions.Increase competitiveness and visibility of the relevant AI community within key application domains, and promote collaborative approaches for AI development in these domains, fostering the ecosystem.Increase adoption of AI technologies across the following three key application domains: healthcare, advanced manufacturing (including AI-powered robotics) and in-vehicle autonomous driving. Scope:The Challenge-Driven AI Innovation Booster aims to drive significant technological progress and innovation in Apply AI prioritised sectors through challenge-oriented, AI-powered solutions. This initiative seeks to boost Europe's developer community and the adoption of powerful, trustworthy AI solutions in three strategic domains such as:In healthcare - advanced AI will accelerate diagnostics and treatment plans, enhance robotic surgery, or improve patient care through predictive analytics.In advanced manufacturing - advanced AI will optimize production processes, improve quality control and product design, or enable predictive maintenance.In autonomous driving - advanced AI will enhance vehicle safety, improve navigation systems, or optimize traffic management. Provided sufficient quality of the proposals received, at least one selected project will focus on in-vehicle autonomous driving applications, in line with th