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Projects

Displaying results 11 to 20 of 119.
  1. APLASTIC-Q Arktis – Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

    APLASTIC-Q Arktis – Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

    Beach litter is increasingly considered an important indicator of ocean pollution in international agreements. In the past, numerous methods have been developed to record beach litter. However, these

  2. EVIDENT – Erforschung vertrauenswürdiger KI-Ansätze zur Verlängerung der Lebensdauer von Elektrofahrzeug-Akkus im Kontext der Routenoptimierung

    EVIDENT – Erforschung vertrauenswürdiger KI-Ansätze zur Verlängerung der Lebensdauer von Elektrofahrzeug-Akkus im Kontext der Routenoptimierung

    Das Projekt untersucht den Einsatz fortschrittlicher KI zur Verbesserung der Disposition und Routenoptimierung, indem es die Grenzen konventioneller Einzelpunktprognosen durch Unsicherheitsquantifizie

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

    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 fo

  4. Intel/Saar LCAAM – Latency Compensation for Avatar Animations in the Metaverse

    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

  5. DACE – Data Competence Centre for Circular Economy Data

    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

  6. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    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 physi

  7. COMET – Consumer Empowerment und Teilhabe an der Domäne Smart Living

    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 d

  8. FAIRe – Frugal Artificial Intelligence in Resource-limited environments

    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. T

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

    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

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

    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