Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
6G Trans-Continental Edge Learning (6G-XCEL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Ireland,Greece,Belgium,Denmark,France,Germany
Call: EU-US 6G R&I Cooperation (HORIZON-JU-SNS-2023, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 3123785.0
EU funding (EUR): 2994474.25
Participants: 10
Project status: SIGNED

Artificial Intelligence (AI) is widely studied and finding increasing adoption across communication technologies spanning network layers and business ecosystems. It is anticipated to play a central role in the design and operation of future 6G networks. Despite the promise of AI, there remain many obstacles to its use in communication networks. The introduction of software defined elements such as radio access network (RAN) intelligent controllers (RIC) enables multi-party applications for the control and management of networks. However, AI functions are still nascent and such structures do not extend to optical networks or multi-controller environments. 6G-XCEL seeks to address these challenges through research on high edge network use cases that employ multi-party AI controls running over compute accelerators to coordinate control across radio and optical networks. It will develop a reference framework for AI in 6G that will pave the way towards global validation, adoption and standardisation of AI approaches. This framework will enable decentralised AI-based network controls across network domains and physical layers, while promoting security and sustainable implementations. Using the latest AI algorithms and data compression, research on the resulting decentralised multi-party, multi-network AI (DMMAI) framework will enable the development of reference use cases, data and model repositories, curated training and evaluation data, as well as technologies for its use as a benchmarking platform for future AI/ML solutions for 6G networks. 6G-XCEL will bring together a large ecosystem of researchers from the EU and US to implement elements of the DMMAI framework in their testbeds and labs, integrating it into their research programs and validating the framework across platforms. Working with standardisation groups within each jurisdiction, 6G-XCEL will achieve joint progress towards large scale application of AI in 6G networks.

Keywords: artificial intelligence,radio networks,optical networks,network control,machine learning,energy efficiency,cyber security,test bed,bench marking,standardisation,us cooperation
Brisk Rydberg Ions for Scalable Quantum Processors (BRISQ)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Sweden,Austria,Germany,Bulgaria
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3368158.75
EU funding (EUR): 3368158.75
Participants: 7
Project status: SIGNED

The goal of BRISQ is to realize a prototype of a fully scalable quantum computer which has the capability to run quantum algorithms with a circuit depth exceeding one million. Achieving this goal will deliver a breakthrough in quantum information processing and simulation. This will directly impact on current efforts of the industrial sector which seek to employ quantum technology for computational tasks, such as the design of materials and drugs, or various optimization problems - tasks that are also limited by possible computational depth. Our technological approach exploits the interaction of trapped ions excited to electronically high-lying Rydberg states. The distinctive advantage of this platform is that it offers coherence times in the range of up to a minute together with fast entangling gate speeds on the order of 100 ns. These two factors are key for achieving an unprecedented circuit depth and thus computational complexity. Research on Rydberg-ion devices is performed solely in two European research labs, and the first nanosecond-timescale entangling gate based on this approach has been achieved by one of the members of the BRISQ consortium. This brings the consortium in a unique position and gives Europe a decisive lead for advancing the development of this new platform towards maturity. To facilitate this effort, the BRISQ project assembles a research consortium that consists of two experimental and two theoretical academic research groups. They are joined by the SME HQS and the industrial partner Infineon Technologies. This combination of expertise permits us to advance our ambitious project on a broad front, ranging from industrial grade hardware to user-driven quantum algorithms and compiler software, which can directly feed into simulation of physical models and potentially quantum chemistry.

Keywords: quantum computer prototype,fully scalable,trapped ions,rydberg interaction,quantum chemistry simulations
All-optical photoacoustic imaging for neurobiology (ALPINE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 1499667.5
EU funding (EUR): 1499667.5
Participants: 1
Project status: SIGNED

Measuring the electrical activity of neurons in vivo is of paramount importance to understand the underlying principles of the brain. Current imaging techniques fail to capture this activity across the entire brain with sufficient spatial or temporal resolutions, while leaving brain tissue intact. Non-linear fluorescence microscopy, the most widespread optical imaging modality in system neurobiology, provides optical diffraction limited resolution and high frame rate, but is limited to shallow depth due to light scattering in tissue. Single-neuron activity in brain regions deeper than one millimeter can therefore not be probed. Combining widefield optical excitation and ultrasonic detection, photoacoustic imaging has emerged in the last decades as a powerful technique to image of optically contrasted objects embedded deep inside biological tissue. It relies on the emission of ultrasound waves upon the absorption of a light pulse. As ultrasound are only weakly scattered when propagating in soft tissue, optically absorbing structures can be reconstructed from the sole measurement of the ultrasound field at the tissue surface. The highest spatial resolution is currently achieved using optical sensors of pressure waves, which exhibit a better sensitivity to high ultrasound frequencies compared to conventional piezoelectric detectors. However, single-cell resolution is still beyond the reach of such sensors, and the underlying sequential acquisition process prevent from imaging at sufficient frame rate. To address this challenge, I will develop new sensors and associated interrogation techniques with 1) high acquisition speed and 2) high sensitivity at high acoustic frequencies, to resolve temporally and spatially the activity of single neurons. This will enable to 3) image non-invasively neuronal activity at unprecedented depth of several millimeters in vivo in the mouse brain.

Keywords: photoacoustic imaging functional calcium imaging
PROTECTION FROM VIRUSES WITH EPIDEMIC AND PANDEMIC DISEASE OUTBREAK POTENTIAL THROUGH DEVELOPMENT AND CLINICAL TESTING OF A NOVEL CAPSID VIRUS LIKE PARTICLE (CVLP) VACCINE (VICI-DISEASE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Denmark,Netherlands,Germany,Gabon,India
Call: Pandemic preparedness and response: Immunogenicity of viral proteins of viruses with epidemic and pandemic potential (HORIZON-HLTH-2023-DISEASE-03, 2023)
Start date: 2023-12-01
End date: 2027-11-30
Duration (months): 48.0
Total project cost (EUR): 7952496.25
EU funding (EUR): 7952496.25
Participants: 8
Project status: SIGNED

The enormous health and economic impacts of epidemics and pandemics has become one of the defining public policy and health issues in Europe and throughout the world. A new urgency is required to understand, rapidly respond to, and vaccinate against viruses with epidemic and pandemic potential. The major challenge for the modern vaccines is the induction of long-term protective immunity, as clearly demonstrated by fast waning of protection for current COVID-19 vaccines. VICI-DISEASE is an ambitious project which combines existing cutting-edge expertise in a tried and tested consortium, with new advances in this critical field. The consortium’s main objective is to develop a vaccine candidate portfolio and perform a clinical proof-of-concept study, to enable stocks of vaccine candidates ready for further development (Phase 2&3) in case of pandemic outbreaks. The primary candidate will be Nipah virus (NiV), a high-mortality viral disease with no vaccines or treatments. Our vaccine is based on NiV G protein displayed on capsid Virus Like Particle (cVLP), enabled by adapting template processes from our recent COVID-19 vaccine (currently in Phase 3), and expected to provide best-in-class longevity as shown for COVID-19. The VICI-DISEASE consortium’s objective is to develop and perform a clinical proof-of-concept study for • a highly effective (>90% protection), • long-term protective (>2 years), • NiV virus cVLP vaccine, • by adapting template processes established for our COVID-19 vaccine (currently in Phase 3), • within 48 months in a Phase 1/2a clinical study, • to help protect medical workers and the public from future NiV and Hendra virus outbreaks, • and establish a pipeline of novel filovirus vaccines through pre-clinical proof-of-concept studies. We address the call topic by improving pandemic preparedness and response through development of a NiV vaccine to Ph1/2 and two filovirus vaccines to pre-clinical proof-of-concept.

Keywords: nipah virus hendra virus ebola sudan virus marburg virus ph1 2a clinical trial
Early detection and management of SKIN-related negleCted tropical diseases using Artificial Intelligence in sub-saharan afRica (SkincAIr) (SkincAIr)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: Spain,Kenya,Senegal,Nigeria,Congo, The Democratic Republic of the,Switzerland,United Kingdom,Estonia,Ethiopia,France
Call: Innovative digital health solutions for sub-Saharan Africa (HORIZON-JU-GH-EDCTP3-2024-01-two-stage, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 4926027.2
EU funding (EUR): 4926027.2
Participants: 12
Project status: SIGNED

The SkincAIr project aims to develop an innovative AI-driven mobile application to support the early detection and of skin Neglected Tropical Diseases (skin NTDs) in Sub-Saharan Africa (SSA). NTDs significantly affect marginalized communities due to several factors, such as lack of trained healthcare staff and diagnostic tools. The project's objectives are: to improve the accuracy of Front-line Health Workers (FHW) of skin NTD identification, to create the largest public dataset of skin NTDs in the world (first in SSA), to reduce disease transmission through early diagnosis, to enhance real-time epidemiological surveillance, to enhance the knowledge of FHW, to develop novel AI models for skin disease monitoring, to ensure the digital solution is culturally tailored, to ensure compliance with clinical practices, ethical, legal aspects and participant rights, to ensure scalability and broad outreach of SkincAIr’s results, to advocate for greater awareness and policy support for NTDs SkincAIr will equip FHW with an app capable of detecting skin NTDs using advanced machine learning techniques while preserving privacy through geolocation features. The app will facilitate real-time epidemiological surveillance, contributing to improved disease mapping and hotspot identification. The project will be implemented in five SSA countries: Kenya, Senegal, Ethiopia, Nigeria, and the Democratic Republic of the Congo. Aligned with the Work Program, SkincAIr is anchored in the scope of Global Health EDCTP3 and regional strategies, targeting the highest demonstrated medical needs in SSA and addressing context-specific needs. It develops a solution with early-stage involvement of end users and implicated health services. The solution ensures seamless integration and interoperability, is sustainable, accessible, open-source, evidence-based, and compliant with data protection standards and global digital health public goods.

Keywords: skin ntds,ai,his,geotagged,mobile app,front line health workers
New Paradigm of Stellar Convection (NEOCON)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe Sciences
Panel description: Astro -physics/ -chemistry/ -biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Austria
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-09-01
End date: 2031-08-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Tension between solar observations and theoretical and numerical models is shifting the paradigm of stellar convection: simulations produce dominant large-scale flows that are absent in the Sun and the supergranulation scale which according to helioseismology is dominant in the Sun is not captured by simulations. This discrepancy, named the convective conundrum, is the most likely reason why solar differential rotation and global dynamo cannot be reproduced by current simulations. Canonical theory of convection, adopted in many models, assumes an unstable temperature gradient and local driving of convection leading to large-scale flows. More recent models relaxing this assumption suggest that surface cooling is the main driver of convection leading to non-local flows in the form of cool entropy rain. In this scenario the bulk of the convection zone is weakly stably stratified in stark contrast to traditional mixing length picture. Recent solar observations also suggest fast small-scale plumes and weakly stable stratification. Simulations of stellar convection are limited by computational resources such that fully realistic models of stars are unreachable in the foreseeable future. This is most likely why surface driving of convection is too weak in current simulations. In the NeoCon project this is addressed via a solar observation-inspired subgrid-scale model incorporating entropy rain to reach the highly non-local regime of convection conjectured to exist in stars. This has paradigm-shifting consequences for theories of stellar convection and dynamos with potential ramifications for stellar structure and evolution. In addition to capturing convection accurately, another crucial requirement is ensuring the correct force balance in stellar interiors with strong multiscale magnetic fields. Strong magnetism is another possible solution to the convective conundrum which is addressed in the NeoCon project by comprehensive study of magnetic back-reaction on convection.

Keywords: convection,dynamo,turbulence,high performance computing
GEOTHERMAL EXTRACTION AND UPGRADE WITH FLEXIBLE USAGE FOR INDUSTRIAL HEAT APPLICATIONS (GEOFLEXHEAT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: United Kingdom,Lithuania,Italy,Germany,Iceland,Ireland,Norway,France,Slovenia,Belgium
Call: Innovative applications/integration of geothermal heating and cooling in industry (HORIZON-CL5-2024-D3-01, 2024)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 2996262.5
EU funding (EUR): 2996262.5
Participants: 12
Project status: SIGNED

The GEOFLEXheat project aims to revolutionize the European geothermal energy sector by introducing an innovative suite of technologies to enhance the extraction, efficiency and application of geothermal heat across diverse industrial sectors. This initiative is driven by a consortium that synergizes leading research institutions, SMEs, and industry experts to tackle the challenges of scalability, integration, and social acceptance associated with geothermal systems. At the core of project lies the development of a Heat Pipe Heat Exchanger coupled with an advanced Scaling Reactor to improve heat recovery from geothermal brine while simultaneously providing valuable mineral byproducts. This is complemented by a novel High-Temperature Heat Pump that delivers cost-effective and high-temperature heat, crucial for a wide range of industrial processes and beyond. The project will also deliver a state-of-the-art Control Strategy and Digital Twin, optimizing system performance and enabling real-time management of geothermal plants. Through comprehensive simulation and modelling, the project will showcase the full potential of geothermal energy to provide stable, affordable, and sustainable heat supply. The ambitious goals include fostering Europe's global leadership in renewable technologies, ensuring reliable energy supply for industries and households, and accelerating the integration of Carbon Capture, Utilization, and Storage with geothermal systems. To ensure the project's outcomes have a lasting impact, GEOFLEXheat will execute robust commercialization strategy, including the establishment of a spin-off company, extensive environmental and economic assessments, and the creation of a Social Acceptance Guide to facilitate policy influence and community engagement. Embracing a future where geothermal energy is a cornerstone of Europe's renewable energy mix, GEOFLEXheat is poised to become a catalyst for energy sustainability, economic growth and environmental stewardship.

Keywords: heat pipe heat exchangers,geothermal flexibility for heat gfh,european geothermal energy sector,innovative technologies,industrial heat applications,scaling reactor,steam accumulator
Textile-Based Wearable Soft Robotics with Integrated Sensing, Actuating and Self Powering Properties (TEXWEAROTS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Türkiye
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 1479262.5
EU funding (EUR): 1479262.5
Participants: 1
Project status: SIGNED

Wearable soft robotic devices for rehabilitation and motion assistance have emerged in the past decade as promising robotic systems owing to their adaptable morphologies. Soft robotics allow safer human-robot interactions, as opposed to rigid exoskeletons made of metals. Elastomers and textiles have become attractive low-cost and flexible material solutions to build wearable soft robots. Despite their high potential, the demonstrated solutions of previous studies are bulky, unreliable, non-scalable, and have limited portability and mobility. All those drawbacks do not allow practical applications of soft robotic devices for at home assistance and rehabilitation during activities of daily living, where they are intended and most needed. The core objective of TEXWEAROTS is to develop untethered knitted soft robotic assistive devices to overcome current drawbacks related to the wearable soft-robotic system reliability, mobility, sustainability, and integration. TEXWEAROTS focuses on the development of a knitted robotic glove free from bulky components with seamlessly integrated actuation, sensing, and self-powering functionalities. With my solid experience in textile manufacturing, soft sensors, and soft robotics, I will leverage the latest advances in digital machine knitting to manufacture 3D actuator shells with the integrated functionalities in a monolithic manner. This will lead to garment-like customizable textile-based robotic devices which are highly scalable and reliable. Furthermore, I will enable thermally powered fluidic actuation mechanism through integration of soft Peltier cooling functionality which enhances the actuator response time needed for motion assistance applications. TEXWEAROTS combines textile and material science, physiotherapy, robotics, electronics, and biomedical engineering. The proposed novel technologies and manufacturing techniques of the glove will lead to a breakthrough in wearable soft robotics and wearable electronics at wide

Keywords: textiles,soft sensors,soft actuators,knitting technology,soft robotics,electronic textiles,wearable electronics