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Research Topics: Machine Learning & Deep Learning Fields of application: Environment & Energy Fields of application: Other
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Displaying results 1 to 10 of 12.
  1. KI4KL – KI für Kommunale Leistungen

    KI4KL – KI für Kommunale Leistungen

    In Antwort auf die Ausschreibung Nr. 10/4.1-2023-0335 der Stadt Gelsenkirchen hat die Westfälische Hochschule ein Angebot „für den Aufbau und Betrieb eines Anwendungszentrums Künstliche Intelligenz fü

  2. 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

  3. 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

  4. TRIPLE-GNC – DFKI subproject: acoustic and visual perception of a miniaturized autonomous underwater vehicle for exploration of subglacial lakes

    TRIPLE-GNC – DFKI subproject: acoustic and visual perception of a miniaturized autonomous underwater vehicle for exploration of subglacial lakes

    The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated functions in close cooperation with marine and space s

  5. SECAI – Sustainable heating through Edge-Cloud-based AI systems

    SECAI – Sustainable heating through Edge-Cloud-based AI systems

    Das Projekt SECAI setzt durch den Einsatz von Künstlicher Intelligenz im Edge-Cloud-Umfeld intelligente, ökologisch nachhaltige und schnell umsetzbare Lösungen für das Heizen von Privatwohnungen a

  6. SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

    SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

    This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as easy to develop as standard ML systems are today. Us

  7. Adra-e – AI, Data and Robotics ecosystem

    Adra-e – AI, Data and Robotics ecosystem

    Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

  8. DeeperSense – Deep-Learning for Multimodal Sensor Fusion

    DeeperSense – Deep-Learning for Multimodal Sensor Fusion

    The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and

  9. STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme

  10. TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

    TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

    The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of acad

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