The MIRAI Project
Machine intelligence techniques for smart and sustainable planning and operation of IoT and Edge computing applications
- AI algorithms and mechanisms for energy-efficient and resource-efficient deployment and run-time adaptation of IoT and edge computing applications.
- Distributed and composable AI models and techniques that scale vertically/horizontally to guarantee high-quality decision making.
- Advanced AI algorithms and techniques for continual and evolving learning under uncertainty and noise, that are critical factors for IoT applications in vital sectors like industry and transportation.
- Innovative methodologies for model development, training, and evaluation with no direct access to labelled data.
- New solutions to guarantee trust and quality assurance in a heterogenous ecosystem.
Funding by EUREKA
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