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August 1

  • Sustainable Mobility: Getting There Faster With AI

    ➀ Fraunhofer IOSB and partners developed an AI system for predicting shared mobility availability, improving intermodal transportation planning with real-time and historical data;

    ➁ The AI integrates into the GBFS standard, enabling routing apps to offer optimized, eco-friendly route suggestions combining public transit, bikes, and e-scooters;

    ➂ A public study showed 90% of users find AI predictions helpful, with 20% willing to reduce car usage, highlighting AI's role in advancing sustainable mobility.

    AIautomotive
  • Sustainable Mobility: Faster to the Destination with AI

    ➀ The Fraunhofer Institute and partners developed an AI-based system in the DAKIMO project to predict availability of shared vehicles (e-bikes, scooters) and integrate intermodal route planning via apps;

    ➁ The system extends the global GBFS data standard to include AI-driven availability forecasts, aiming to simplify sustainable travel by combining public transport and shared mobility;

    ➂ A study shows 90% of users find the AI predictions helpful, and 20% would switch from private cars to public options, supporting climate goals.

    AISoftwareTransportation
  • A Less Debilitating Approach to Cancer Diagnosis

    ➀ Fraunhofer researchers developed a multimodal imaging method combining X-ray and radar technologies to reduce radiation exposure in diagnosing breast and lung cancers;

    ➁ The approach co-registers X-ray and radar data, enhances image quality through reconstruction algorithms, and integrates radar data into CT scans to lower radiation doses and artifacts;

    ➂ The project aims to establish a lab system for accurate, low-radiation cancer diagnosis, funded by Fraunhofer with participation from multiple institutes.

    HPCSoftwaresemiconductor
  • Gentler Cancer Diagnosis: Fraunhofer Combines X-ray and Radar for Safer Imaging

    ➀ Fraunhofer researchers develop a multimodal imaging method combining X-ray CT and radar to reduce radiation exposure in breast and lung cancer diagnosis;

    ➁ Radar provides 3D tissue imaging without radiation by analyzing electrical conductivity, complementing X-ray data for higher precision and artifact reduction;

    ➂ A three-year project aims to create a lab prototype for early, low-radiation detection of tissue changes, involving Fraunhofer EMI, MEVIS, and FHR institutes.

    FraunhoferHPCsemiconductor
  • European XFEL Heated to Room Temperature for Major Maintenance and Upgrades for the First Time

    ➀ The European XFEL’s superconducting linear accelerator, operating at -271°C for over 8 years, has been gradually warmed to room temperature for mandatory maintenance and upgrades, marking its first such shutdown since installation;

    ➁ Planned work includes replacing helium valves, installing a new electron source, and preparing for superconducting undulators to enhance X-ray intensity and enable nanometer-scale research, with operations set to resume in early 2026;

    ➂ The upgrade supports the facility’s 2032 development strategy, which aims to expand experimental capabilities for global researchers studying atomic structures and ultrafast processes using the world’s most powerful X-ray laser.

    CoolingHPC
  • HiQ-CARB Project: Sustainable Conductive Carbon Additives for Lithium-Ion Batteries

    ➀ The EU-funded HiQ-CARB project developed sustainable conductive additives (carbon nanotubes and acetylene black) for lithium-ion batteries, reducing CO₂ emissions and material usage;

    ➁ The additives improved battery performance, seamlessly integrated into existing production processes, and demonstrated a 50% lower carbon footprint compared to conventional materials;

    ➂ Partners like Fraunhofer ISC and CustomCells validated scalability, with life-cycle analysis confirming environmental benefits and Europe’s shift toward greener battery manufacturing.

    automotivesemiconductor

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