Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hardware Acceleration with Tunable SRAM/IMC Voltages (ACROBAT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Türkiye,United States,France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2026-08-31
Duration (months): 36.0
Total project cost (EUR): 239282.64
EU funding (EUR): 239282.64
Participants: 3
Project status: CLOSED

Deep Neural Networks (DNNs) are the fundamental component in most artificial intelligence applications. With the increasing number of applications based on artificial intelligence, the performance and energy efficiency of architectures running these algorithms have become crucial, especially for battery-powered platforms. In this work, I propose an energy optimizing memory design framework with a special SRAM/in-memory-computing structure. It also utilizes datapath optimization techniques like quantization and pruning with a fine-level assignment. Compared to other hardware accelerator studies for DNN processing, in this work, I will show that this special memory design, together with the architectural datapath optimization techniques, will have a much better capability of finding the Pareto optimal point in the energy-accuracy trade-off and increase the profitability of the final design.

Keywords: in memory computing,sram,low power,deep neural networks,hardware acceleration
Long-lived coherent Rabi oscillations in molecular polaritons and their application to ultrafast all-optical switching (CORALS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-05-01
End date: 2028-04-30
Duration (months): 24.0
Total project cost (EUR): 252180.0
EU funding (EUR): 252180.0
Participants: 1
Project status: SIGNED

Innovations in all-optical technologies hold the key to unlocking the next generation of faster and more efficient data processing and computing systems. Novel material platforms that can be controlled and manipulated using light are necessary building blocks for such technologies. One such platform is strongly coupled systems, where light and matter states coherently couple to form hybrid light-matter quasiparticles called polaritons. Polaritonic systems have already shown great promise in designing high-speed all-optical data processing systems. Achieving strong coupling has also been proposed as a basis for quantum information processing protocols, especially in the ultrastrong coupling regime where the strength of light-matter coupling becomes comparable to the energy levels of the interacting states. An important challenge in strongly coupled systems is the short-lived nature of the polaritonic coherence (and its time domain signature, Rabi oscillations), especially at room temperature. As a result, harnessing this short-lived regime for real-life implementation remains unrealized. The goal of this project is to experimentally observe long-lived coherent Rabi oscillations in the ultrastrong coupling regime and to demonstrate a novel ultrafast data processing operation using the Rabi oscillations. To achieve this, I will use state-of-the art ultrafast spectroscopy techniques to unveil the femtosecond-scale Rabi oscillation dynamics of a molecular polaritonic system at room temperature and demonstrate an optical switch that is an order of magnitude faster than state-of-the-art polaritonic devices. These results will address the knowledge gap in polaritonics in the ultrastrong coupling regime and spur research into harnessing coherent polariton dynamics for ultrafast all-optical applications. The outcomes of the project are expected to pave the way for future fast and energy-efficient quantum and all-optical information processing technologies.

Keywords: ultrastrong coupling,ultrafast multidimensional spectroscopy,all optical switching,polaritonics,rabi oscillations,quantum coherence
Structured Physics-Inspired Representations and dAta models for efficient Learning (SPIRAL)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 1
Project status: SIGNED

Artificial Intelligence (AI) is set to revolutionize technology and society. While the fast improvement and adoption of AI comes with tremendous potential, it also brings significant challenges. The rise of so-called ‘Large Language Models’ such as ChatGPT, which require tremendous computational resources, notably highlights the need for more efficient architectures to address sustainability and sovereignty concerns. In this context, the SPIRAL project—Structured Physics-Inspired Representations and dAta models for efficient Learning—aims to create more interpretable, efficient, and targeted machine learning models by focusing on the role of structure. Indeed, despite advancements in Machine Learning research, the field has yet to fully understand how models process and build internal representations from structured data. SPIRAL seeks to close this gap by identifying how current architectures use structure in data and subsequently by developing better training protocols and tailored architectures, opening an alternative to the blind increase of model size and complexity. To achieve its goals, SPIRAL will take a dual, physics-inspired approach. First, it will establish an in-silico laboratory to explore the role of structure in data by developing a tunable model of synthetic structured data and conducting targeted experiments on modern machine learning architectures. Second, it will leverage insights from the statistical physics of disordered systems to understand the emergent structure in the solution landscape of asymmetric neural networks, ultimately proposing innovative architectures that make use of this internal structure to build meaningful internal representations of data. This interdisciplinary strategy, developed within the fast-growing Bocconi Institute for Data Science and Analytics, will provide new methods for building efficient models aligning with Europe’s goals of sustainability and technological independence.

Keywords: structured data,neural networks,disordered systems,spin glasses
Slovenian Quantum Science Hub (SQUASH)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Slovenia,Germany,France,Denmark,Spain,Italy,Canada,Japan,United States,Lithuania,Poland,Czechia,India,United Kingdom,Croatia,Switzerland,Netherlands
Call: MSCA COFUND 2023 (HORIZON-MSCA-2023-COFUND-01, 2023)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 5731200.0
EU funding (EUR): 5731200.0
Participants: 46
Project status: SIGNED

Located in Ljubljana, Slovenia, the Jožef Stefan Institute is the national leader in quantum research. Supported by the Marie Skłodowska-Curie Actions programme, the SQUASH project – Slovenian Quantum Science Hub – will employ 40 foreign postdoctoral researchers. The fellowships are designed to advance their research skills in four multidisciplinary fields: quantum theory, quantum materials, quantum technology, and quantum computing & information. With a broad range of international and intersectoral secondments, as well as career-developing training programs, fellows will gain a blend of additional versatile skills, significantly boosting their career-growth opportunities. The project aims at developing skilled and innovative quantum workforce across research, technology, and academia to tackle the upcoming challenges of the second quantum revolution.

Keywords: quantum physics,quantum theory,quantum materials,quantum technology,quantum computing,quantum information
Integration of biodiversity monitoring data into the Digital Twin Ocean (DTO-BioFlow)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Ocean, seas and waters
Destination: Ocean, seas and waters
Action type: Innovation actions
Countries involved: Belgium,France,Spain,Sweden,Denmark,Italy,Finland,Netherlands,Norway,Portugal,Germany,Czechia,Greece,United Kingdom
Call: Integration of biodiversity monitoring data into the Digital Twin Ocean (HORIZON-MISS-2022-OCEAN-01, 2022)
Start date: 2023-09-01
End date: 2027-02-28
Duration (months): 42.0
Total project cost (EUR): 9747516.25
EU funding (EUR): 9452372.5
Participants: 32
Project status: SIGNED

The ocean and its biodiversity are essential to life on this planet. Comprehensive data on biodiversity, and related human and environmental pressures are crucial to understand its current state and how this may change. Protecting and restoring biodiversity is one of three objectives of the Horizon Europe Mission to restore our oceans and waters by 2030, enabling the EU to reach its Green Deal and Biodiversity 2030 targets. Identified as one of the Mission "enablers", the EU will build on “a digital knowledge system” to include a Digital Twin of the Ocean (DTO) allowing simulation of ‘what if’ scenarios, advancing ocean knowledge, informing evidence-based policy and offering a range of societal applications. To effectively replicate the ocean’s ecology, the DTO requires sustained flows of data on biodiversity and associated pressures. Despite myriad actors collecting biodiversity data, and the development of novel cost-effective monitoring technologies, much of these data are inaccessible or unusable for a variety of reasons, hampering the development of the DTO biological component and limiting its efficacy. DTO-BioFlow will activate access to ("sleeping") marine biodiversity data and enable the sustainable integration of existing and new Artificial Intelligence processed and automated data flows from various sources to EMODnet and into the EDITO infrastructure serving the EU DTO. Combining sustained data flows, models and new algorithms, DTO-BioFlow will develop and integrate the biological component of the DTO, including new digital tools and services. Policy-relevant use cases, will demonstrate the benefit for marine ecosystems of continuous data streams flowing through EMODnet and usable by the EU DTO infrastructures and ultimate end-users. Mobilising the marine biodiversity community towards increasing the availability of biodiversity monitoring data into 2030, DTO-BioFlow and its outputs will support the Mission’s actions to protect and restore biodiversity.

Keywords: marine biodiversity,marine ecosystems,data,digital twin ocean,modelling,simulation,prediction,high performance computing,artificial intelligence,marine policy,mission ocean
eLTER EnRich - Bridging phases towards the Integrated European Long-Term Ecosystem, critical zone and socio-ecological Research Infrastructure (eLTER EnRich)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Coordination and support actions
Countries involved: Germany,Finland,Austria,Italy,France,Bulgaria,Sweden
Call: Early phase implementation of ESFRI Projects which entered the ESFRI Roadmap in 2018 (HORIZON-INFRA-2023-DEV-01, 2023)
Start date: 2024-03-01
End date: 2027-02-28
Duration (months): 36.0
Total project cost (EUR): 1626112.59
EU funding (EUR): 1457381.88
Participants: 11
Project status: SIGNED

eLTER EnRich aims at catalysing the eLTER ESFRI process towards a successful conclusion, balancing between (1) the changed framework conditions since 2020 and (2) the vision and role in the European system of Research Infrastructures (RIs) identified by ESFRI. This role is to enable frontier research for a sound understanding of ecosystem change or adaptation in response to multiple global change pressures/pulses, thus providing an essential tool for achieving the Sustainable Development Goals and the Green Deal, and for the transition to a sustainable and resilient Europe. Given the current 'force majeure' factors, the RI cannot be implemented in the linear process originally planned, but in a phased approach that requires agile planning tools to support scenario assessment and prioritisation in close interaction with our stakeholders. To this end, EnRich is implementing a model-based systems engineering approach to better capture the complexity of the distributed RI and to support dynamic decision making towards a research infrastructure capacity that is well co-ordinated across ~20 formally involved countries. The eLTER System Architecture (SA) allows us to design a baseline 'Skeleton RI' with well selected initial key services as a starting point for incremental extensions during the operational phase. Cyberinfrastructure components of highest relevance for the eLTER service portfolio will be driven from the SA and implemented in close collaboration with related projects and RIs. Formalisation efforts will be intensified to achieve sustainable commitment from service hosts and future ERIC members, despite the current global uncertainties. This will ensure a seamless transition from eLTER projects to eLTER ERIC operations, build capacity in terms of expertise and human resources, and strengthen user involvement in the RI. EnRich will also ensure support for decision-making in the eLTER Interim Council beyond the duration of the eLTER Preparatory Phase Project.

Keywords: system engineering,cyberinfrastructure,implementation of skeleton ri,long term holistic ecosystem research,system architecture,ri services,ri collaborations,eric,elter ppp,elter plus
Flavour, odour and texture improvements of plant-based dairy products using microbial fermentation products (DELICIOUS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Innovation actions
Countries involved: Sweden,Denmark,Spain,Netherlands,France,Greece,Finland,Belgium,Austria
Call: Microbiome for flavour and texture in the organoleptic dietary shift (HORIZON-CL6-2024-FARM2FORK-01, 2024)
Start date: 2024-11-01
End date: 2028-10-31
Duration (months): 48.0
Total project cost (EUR): 5116522.5
EU funding (EUR): 4499800.88
Participants: 17
Project status: SIGNED

DELICIOUS proposes a novel production technology to create affordable, tasty and safe plant-based dairy analogues (cheese and kefir) with high nutritional value, by combining microbial products with plant-based raw materials. The project has the ambition to accelerate the dietary shift, acting like a paradigm for the whole plant-based food sector. DELICIOUS contributes to a better nutrition for everybody by developing products with high protein content, rich in vitamins, fibres and probiotics. The project aims also to decrease the environmental footprint of food industry not only by replacing conventional dairy products in peoples’ diets but also by introducing microbial products which acquire less fresh water, less land use and inexpensive residual raw materials. Having as starting point the perceptions of culinary experts (chefs), the project will improve the sensory characteristics of the current, commercial plant-based products in order to improve their placement in the market. To that end, we will use tailor-made microbial fat, produced via precision fermentation, yeast biomass and fibre-producing microbial strains to achieve the desired organoleptic properties without additives, artificial flavours and avoiding ultra-processing methodologies. To accelerate the commercialisation of the developed products, DELICIOUS will perform various analyses and evaluations: Safety assessments, nutrition simulations, consumers testing and technoeconomic evaluation of the processes combined with behavioural economics to define the profit and price margins for such products. Capitalising on the great capacity and experience of the consortium on High Throughput methodologies, the project has also the great ambition to empower fermentation industry with a bioinformatic tool to predict flavour, odour, and texture of a product, based on the initial raw materials and the microorganisms used in fermentation, significantly decreasing the costs of product development.

Keywords: fermentation plant based dairy products microbiome
ModulatIng Cancer therapy RespOnse using Bacterial Extracellular nanovesicles (MICROBE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Belgium
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Emerging evidence from cancer patients and mouse models indicates that gut bacteria affect response to immune checkpoint inhibitors (ICI). As a result, modification of gut bacteria by dietary changes, probiotics and fecal transplantations are explored but a huge gap remains to gain clinical application. Limiting factors are the lack of mechanistic knowledge on how gut bacteria impact ICI response, the need of antibiotics to treat infections in cancer patients and gut resilience to exogenous bacterial colonization. Bacteria release nanometer-sized extracellular vesicles (BEV), loaded with specific pathogen-associated molecular patterns (PAMP), which possess multiple favorable characteristics for clinical application but remain minimally explored in oncology. Recently, my research group pioneered the discovery of gut-derived immunomodulatory BEV in the systemic circulation (sysBEV) of non-septicemic cancer patients. I hypothesize that sysBEV direct ICI response by initiating cytokine release to instruct innate and adaptive anti-tumor immunity. The overall scientific objective of my ERC-CoG project is to establish an innovative nanotherapeutic strategy using non-replicating BEV nanoparticles as a game changer to establish a safe but potent and durable ICI response. Hereto, MICROBE will analyze cancer patient biospecimens to address a number of fundamental questions with regard to BEV characteristics that are essential to ICI response and implement this know-how to formulate BEV nanotherapeutics from gut bacteria of healthy donors and ICI responsive cancer patients. The optimal administration route, treatment dosage, pharmaco-kinetics and -dynamics will be established and the synergism between BEV nanotherapeutics and ICI will be elucidated using clinically relevant mouse models. In conclusion, MICROBE will provide the EU a frontrunner position for a future first-in-human clinical trial using BEV nanotherapeutics in anti-cancer treatment.

Keywords: extracellular vesicles,bacterial extracellular vesicles,outer membrane vesicles
Unravelling ChemoResistance mechanisms and improving first-line therapeutic strategies in high-grade serous Ovarian Carcinoma using multi-culture patient-derived organoids (CROC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2025-08-31
Duration (months): 32.0
Total project cost (EUR): 239491.52
EU funding (EUR): 239491.52
Participants: 1
Project status: SIGNED

To improve the poor clinical outcomes in high-grade serous ovarian carcinoma (HGSC), we need to understand the cancer cell-tumour microenvironment (TME) dynamic interactions upon disease evolution and treatment. In my proposed project, I will establish a unique TME-HGSC patient-derived organoid (PDO) multi-culture model system to identify and understand how the TME impacts treatment responses and how treatment resistance can be overcome. To generate multi-culture PDO preclinical models of HGSC for the first time, I will use my own expertise in 3D culture and stromal cell isolation from patient-derived material, and I will integrate self-generated “TME units” with well-characterized HGSC PDOs established at the host laboratory. I will then use this model to study the chemotherapy-induced changes at the single cell level. I will compare the transcriptional states of the treated models to the interval/recurrent PDOs and correlate their in vitro treatment responses to the patient responses. I will predict strategies to increase the sensitivity of the cancer cells to the HGSC standard treatment by targeting the tumour-TME interactions or the cancer cells themselves without generating a more tumour-supportive TME, by using the multi-culture PDOs in high-throughput drug screens and subsequently integrating the generated data. Finally, I will functionally validate the predicted therapeutic strategies by CRISPR gene editing and drug treatment of the models. I expect that my project will generate profound knowledge on the chemoresistance mechanisms in HGSC and provide the scientific community with a unique experimental model that incorporates the TME to state-of-the-art HGSC PDOs. In addition, this fellowship will allow me to enhance my international visibility through high-impact publications independent from my PhD supervisor and provide me with a great track record in obtaining independent funding, essential to successfully secure independent research grants in the future.

Keywords: treatment resistance molecular mechanisms tumour microenvironment patient derived organoids high grade serous ovarian carcinoma single cell sequencing prediction models