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Research Departments: Smart Data & Knowledge Services Research Topics: Machine Learning & Deep Learning Fields of application: Other
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Displaying results 1 to 10 of 11.
  1. 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 …

  2. ML4Sim – Machine Learning for Simulation Intelligence in Composite Process Design

    ML4Sim – Machine Learning for Simulation Intelligence in Composite Process Design

    Fiber-reinforced polymers are composite materials made of fibers and a surrounding matrix. Due to their outstanding lightweight potential, they are …

  3. ML4SCA – Machine Learning for Satellite Collision Avoidance

    ML4SCA – Machine Learning for Satellite Collision Avoidance

    With an increasing number of satellites and debris objects in earth orbit it becomes increasingly important to automate and improve procedures for …

  4. myRPA – Experience-based Robotic Process Automation for Knowledge-based Personal Assistants

    myRPA – Experience-based Robotic Process Automation for Knowledge-based Personal Assistants

    Robotic Process Automation (RPA) enables further automation of processes across existing systems. As RPA can act like humans and thus is able to read, …

  5. SPELL – Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren

    SPELL – Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren

    Artificial intelligence in the interconnected control center of the future The SPELL project represents the idea of a semantic platform for …

  6. Managed_Forgetting_Phase_2 – Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios

    Managed_Forgetting_Phase_2 – Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios

    Partners Universität Hannover (Gottfried Wilhelm Leibniz Universität Hannover) Pädagogische Hochschule Ludwigsburg (Fakultät III: Sonderpädagogik …

  7. ExplAINN – Explainable AI and Neural Networks

    ExplAINN – Explainable AI and Neural Networks

    Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep …

  8. EDeL – Efficient Data Processing for Deep Learning

    EDeL – Efficient Data Processing for Deep Learning

    The astonishing speed of developments in deep learning, especially in the field of computer vision, is largely based on the availability of …

  9. DeFuseNN – Deep Fusion für Neuronale Netze

    DeFuseNN – Deep Fusion für Neuronale Netze

    Motivation Focused research and development in the field of Deep Learning, especially in recent years, has resulted in a variety of different network …

  10. Managed Forgetting – Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers

    Managed Forgetting – Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers

    Introducing ‘forgetting’ into organizational knowledge management methods and practices promises to help overcome information overload and to ease …

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