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Fields of Application

Environment & Energy

The success of the energy revolution depends to a large extent on the digitalization of the increasingly complex energy networks. AI technologies have enormous potential for predicting energy demand, analyzing the relevant mass data and optimizing the interaction between generation, network, storage and consumption. To this end, concepts and solutions are developed to establish process models for critical infrastructures in the energy sector and to implement them in a secure integrated data and service platform. Forecasting methods based on these models support a secure energy supply and the security of energy systems.

Projects

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  1. DuITeasy - Lifelong assistance platform based on an open federated data and services ecosystem and smart metering systems

    The European population is aging. New strategies, systems, and technologies are needed that use already existing data collection systems in the living environment and support a self-determined life…

  2. Intel/Saar LCAAM - Latency Compensation for Avatar Animations in the Metaverse

    As part of the “Future of Graphics and Media” program, seven projects from institutions of the Saarland Informatics Campus will be funded equally by the chip manufacturer Intel and the Saarland with a…

  3. DACE - Data Competence Centre for Circular Economy Data

    The aim of the circular economy (CE) is to enable sustainable development through the effective and efficient use of materials by minimising the extraction of resources from the environment as well as…

  4. FAIRe_RIC - Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the…

  5. COMET - Consumer Empowerment und Teilhabe an der Domäne Smart Living

    Die Bedeutung der Smart-Living-Domäne für die deutsche Wirtschaft wächst kontinuierlich und präsentiert sich als vielversprechender Markt. Auf Künstlicher Intelligenz basierende Smart Services haben…

  6. FAIRe - Frugal Artificial Intelligence in Resource-limited environments

    Artificial intelligence (AI) is finding increasingly diverse applications in the physical world, especially in embedded, cyber-physical devices with limited resources and under demanding conditions.…

  7. HumAIne - Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

    At HumAIne, we aim to pioneer the development and integration of innovative AI paradigms. Our goal is to make human-AI collaboration not only advanced but also profoundly reliable, even in dynamic and…

  8. KIMBA - KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

    With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary aggregates with recycled (RC) aggregates, natural…

  9. Revise-UP - Verbesserung der Prozesseffizienz des werkstofflichen Recyclings von Post-Consumer Kunststoff-Verpackungsabfällen durch intelligentes Stoffstrommanagement

    At 3.2 million tonnes per year, post-consumer packaging waste represents the most significant plastic waste stream in Germany. Despite progress to date, mechanical plastics recycling still has…

  10. ForeSightNEXT - Platform for data, artificial intelligence and services in the smart living ecosystem

    ForeSightNEXT is the lead project of the "SmartLivingNEXT" technology program funded by the BMWK and is developing the technological and economic basis for the creation of a secure, trustworthy and…