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Projects

Displaying results 21 to 30 of 37.
  1. NorthSat-X – The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change
  2. 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

  3. NFDI4Ing – National Research Data Infrastructure for Engineering Sciences

    NFDI4Ing – National Research Data Infrastructure for Engineering Sciences

    NFDI4Ing is one of the funded consortia of the NFDI initiative of DFG (https://www.dfg.de/en/research_funding/programmes/nfdi/index.html). NFDI4Ing brings together the engineering communities and fost

  4. NAUTILOS – NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

    NAUTILOS – NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

    The deep ocean, below 200 m water depth, and the open ocean environment above it, are largest habitats but least observed ones of our planet. These highly dynamic systems provide critical climate regu

  5. DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, system or process that simulates its physical attri

  6. FORESIGHT-Umsetzungsphase_SU – Plattform für kontextsensitive, intelligente und vorausschauende Smart Living Services in der Umsetzung

    FORESIGHT-Umsetzungsphase_SU – Plattform für kontextsensitive, intelligente und vorausschauende Smart Living Services in der Umsetzung

    The ForeSight project idea emerged from the Smart Living business initiative. The aim of the project is to make a significant contribution to the further development of smart buildings and apartments

  7. hILDe – Novel, cost-effective and highly precise indication of imbalance and state of charge  (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

    hILDe – Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

    Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors Partners IZES gGmbH (Konsorti

  8. KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

    KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

    Significant improvements in the energy efficiency of AI hardware are a prerequisite for the growing spread of this computationally intensive technology. Science and business, nationally and internatio

  9. InterConnect – Europaweite Pilotprojekte mit über 50 Partnern aus elf Ländern - Gebäude und Stromnetze wachsen digital zusammen

    InterConnect – Europaweite Pilotprojekte mit über 50 Partnern aus elf Ländern - Gebäude und Stromnetze wachsen digital zusammen

    This Europe-wide project is working on the intelligent networking of buildings, smart homes and electricity grids. The various objectives include efficient, intelligent, interoperable energy managemen

  10. FiN 2.0 – Fühler im Netz 2.0

    FiN 2.0 – Fühler im Netz 2.0

    „Fühler im Netz 2.0“ baut auf den Ergebnissen des Projektes „Fühler im Netz“ (FiN) (Projektzeitraum 2014 bis 2017) auf und legt den Fokus darauf, die Möglichkeiten zur Anlagen- und Netzzustandsübe