Data and AI

  • ITML at EdgeAI’s Final Review Meeting in Reims, France

    ITML at EdgeAI’s Final Review Meeting in Reims, France
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    On 1-2 July 2026, the EdgeAI consortium gathered in Reims, France, for the project’s Final Review Meeting, marking the successful completion of 3.5 years of collaborative research and innovation under the Chips Joint Undertaking.

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  • TRIFFID

    TRIFFID
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    TRIFFID aims to enhance First Responder procedures using autonomous robotic platforms in emergency cases of fire, flood, and earthquake.

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  • PANDORA

    PANDORA
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    Pandora develops an AI-based and domain-informed framework, offering complete and trustworthy datasets for improved AI model training. The latter is deployed in smart IoT ecosystems, enhancing autonomy and energy efficiency.

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  • NEUROCLIMA

    NEUROCLIMA
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    NEUROCLIMA aims to establish a framework for systemic transformations and citizen engagement in climate resilience, connecting policymakers, institutions through innovative Human-AI decision support, creating a “nervous system” for climate action.

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  • NOUS

    NOUS
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    NOUS will develop the architecture of a European Cloud Service that allows computational and data storage resources to be used from edge devices and supercomputers through the HPC network, and Quantum Computers.

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  • COMFORTAGE

    COMFORTAGE
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    COMFORTAGE transforms elderly care through cutting-edge, age-friendly, personalised AI solutions towards predicting, monitoring and relieving people with dementia and frailty.

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  • SiC4GRID

    SiC4GRID
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    SiC4GRID advances renewable energy with innovative, eco-designed SiC-based semiconductors, directed towards substantial reduction in cost and size, and robust durability properties. Validated in HVDC/MVDC applications in wind and photovoltaic use-cases, the project aims to overcome cost, efficiency, and environmental barriers, supporting the broader adoption of renewable energy technologies.

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  • MARVEL

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    A disruptive Edge-to-Fog-to-Cloud ubiquitous computing framework, handling, processing and delivering data from millions of devices around the world is a complex and remarkable feat that hinges on edge computing systems.

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  • TEACHING

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    TEACHING will develop a human-aware CPSoS for autonomous safety-critical applications, based on a distributed, energy-efficient and dependable Artificial Intelligence (AI), leveraging edge computing platforms integrating specialized computing fabric for AI and in-silico support for intelligent cybersecurity.

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  • PALAEMON

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    The PALAEMON project aims to support the safety of passengers and address the increasing need for advanced passenger ship evacuation methodologies by defining a new ICT sophisticated mass centralised evacuation framework.

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