Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Process Orchestrator Agents for business in workflows using LLMs and RLHF techniques (POA4BSS)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 3400000.0
EU funding (EUR): 3400000.0
Participants: 1
Project status: SIGNED

Foqum Analytics is a leading SME company in Artificial Intelligence (AI) and Machine Learning (ML) solutions, specializing in transforming text, video, image, and audio data into business value in less than 4 weeks. Our approach focuses on offering personalized and adaptive solutions that easily integrate into our clients' business processes, allowing them to optimize their operations and gain significant competitive advantages. The objective of this proposal is to bring to the market a generalizable business process orchestrator applied to automation and optimization in the field of BPM. Foqum provides a novel approach to the field of automation by applying LLMs and RLHF techniques to incorporate reinforced learning and its application to different use cases through federated learning. These technologies not only transform business processes, but also generate tangible benefits for society.

Keywords: orchestrator,agents,machine learning,artificial intelligence,reinforced learning,business process modeling
Exploring asymmetric neural dynamics – a study on Drosophila’s visuomotor processing (ExpAND)

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: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: SIGNED

Asymmetry is a fundamental principle of nervous system organization and can be seen across species in various forms, ranging from subtle differences in neuron size, synaptic connectivity, or axonal branching, to more pronounced cases where entire brain regions are lateralized to one hemisphere. These asymmetries play a critical role in cognition, species-specific behaviors, and neural circuit physiology. While studies in model organisms and human brain imaging have provided some insights into the role of asymmetry in behavior, the underlying neural and computational mechanisms remain largely unexplored. Navigational tasks, such as locating food or mates and driving a car rely on these neural asymmetries. In Drosophila, dorsal cluster neurons (DCN) exhibit asymmetric axonal branching between hemispheres and are crucial for navigation between targets. Flies with more asymmetric DCN wiring show improved performance when orienting toward an object, and inducing asymmetry in originally symmetric wiring enhances this ability. In this project, I aim to test for the first time the computational, physiological, and behavioral advantages of neural circuit asymmetries within a single animal model. I hypothesize that structural asymmetry within a circuit influences its physiology by promoting specific neural activity dynamics across hemispheres. To test this, I will combine anatomical reconstructions, functional calcium imaging in freely behaving flies, and computational modeling. My expertise in linking specific neural circuits to visually guided behaviors uniquely positions me to uncover how structural asymmetry benefits neural physiology. The rapidly advancing tools and resources in Drosophila research make DCN an ideal model for this study. Overall, this integrated approach provides a promising avenue for revealing fundamental principles of neural circuit function and the advantages of asymmetric wiring.

Keywords: drosophila melanogaster,asymmetric neural circuits,visual target navigation,lc14 neurons
Becoming National against the State: Popular discontent and adherence to minority nationalisms in late nineteenth-century Eastern Europe (BENASTA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Slovenia
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2024-02-01
End date: 2029-01-31
Duration (months): 60.0
Total project cost (EUR): 1499928.0
EU funding (EUR): 1499928.0
Participants: 2
Project status: SIGNED

Based on transnational comparisons, our project probes into non-elite adherence to minority nationalisms in rural Eastern Europe between the 1870s and the First World War. We compare six case studies. We focus on state agency as a driving factor, to offer a corrective to the currently predominant, one-sided emphasis on the nexus between nationalist activists and the people. In the broader Eastern Europe, most national movements defined their constituencies in disregard of existing borders. We try to demonstrate that the states structures in which these populations lived inadvertently conspired with national movements to constitute minorities disaffected with them. They did so on two levels. First, by expanding their infrastructural reach, they inflicted harm especially on rural people and made themselves an easier target for economic and social grievances. Second, they reinterpreted certain populations as foreign, a problem and a threat to the security and integrity of the state. They implemented special policies to assimilate or contain them and proactively framed their dissatisfaction as a sign of nationalist yearnings. By retrieving voices from below, we propose to clarify how far these processes aided successful national mobilization in minority. Some of our more specific research questions are the following. What hopes did rural people attach to national movements? Were they interested in modern public services from a state controlled by their coethnics – or rather, did they expect national movements to shield them from any kind of state interference? What state policies did they react against, and how did these differ from the ones that the elites of national movements resented? Did popular voices about the state administration and policies echo elite framings? Finally, did popular understandings shape more democratic, twentieth-century (right or left-wing) brands of nationalism?

Keywords: eastern europe,nationalism,nineteenth century
Overcoming challenges in the evolution and nature of massive stars (OCEANS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Czechia,Germany,Spain,France,Poland,Argentina,Chile,Brazil,Mexico,United States
Call: MSCA Staff Exchanges 2023 (HORIZON-MSCA-2023-SE-01, 2023)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 1614600.0
EU funding (EUR): 1614600.0
Participants: 16
Project status: SIGNED

Massive stars are the cornerstone of the dynamic and chemical evolution of the cosmos, enriching it as they evolve with chemically processed material that is blown away from their surface by energetic winds and eruption processes. Despite their importance, their evolution from cradle to death as spectacular supernova explosions still poses many mysteries due to crucial knowledge gaps in the physical processes taking place in their interior and atmosphere and the mutual influence by close-by siblings. Our ultimate goal is to elucidate the physical properties and evolution of massive stars impacted by companions, as well as their contribution to the generation of gravitational waves. For this, we wish to establish a multidisciplinary, international network of researchers from Europe and America with expertise in various disciplines, and with background in both theory and observations. We will exploit the avalanche of public data archives and develop machine learning algorithms to detect massive stars in binary and multiple systems, classify them, and create statistically meaningful samples for diverse evolutionary states. We will develop progressive methods of signal processing for the analysis of the stellar properties, and cutting-edge numerical codes to unveil the impact of stellar interaction and mass ejection on the evolution of the stars and stellar systems. The acquired results will significantly enhance our knowledge and lead to major advancements in all related fields. The bulk of exchanges will be undertaken by PhD students and Postdocs, whom we will educate and train in modern observing and data analysing techniques, machine learning algorithms, and in high-performance computing, equipping them with excellent skills for their future careers. We will organise schools, workshops and educational activities to share knowledge as well as disseminate our results, which will be major breakthroughs and will expand Europe's leading role in basic research.

Keywords: stellar winds and outflows,stellar evolution,stellar pulsations,interacting binaries,circumstellar medium,databases,machine learning,astrostatistics
Verifiying Noisy Quantum Devices at Scale (VerNisQDevS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France,Israel
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-06-01
End date: 2028-05-31
Duration (months): 60.0
Total project cost (EUR): 1997250.0
EU funding (EUR): 1997250.0
Participants: 2
Project status: TERMINATED

Quantum computing is undergoing a phase transition, as the field shifts from asking “what if” (quantum computers existed) to ``how do'' (we leverage the power of emerging quantum devices). Progress in the design of experimental quantum systems raises a unique challenge: given that their size already precludes direct classical simulation, and given that quantum states are perturbed by observation, how does one test and certify the new devices? This difficulty is starkly evidenced by the ongoing race for demonstrating a quantum computational advantage. Given that the task cannot be replicated classically, can it be verified? The main goals of this project are to develop effective means to characterize, certify and harness complex quantum states and devices. To achieve this we employ the framework of interactive proofs from classical complexity theory. We use this to model interactions as varied as demonstrations of quantumness, the delegation of a quantum computation, or cryptographic tasks such as quantum key distribution. The major challenges that we address are scalability, noise tolerance, and security. To achieve scalability we build on complexity-theoretic techniques such as the notion of probabilistically checkable proofs. We focus on the design of protocols that successfully complete even when the quantum device is slightly noisy. The security notions that we seek encompass device independence (no a priori trust is placed on the quantum equipment) and side information (privacy should be guaranteed with respect to any external party). Large-scale experimental demonstrations of quantum networks are currently being planned in many countries, including a leading European effort (EuroQCI). Our work lays the theoretical groundwork for scalable, secure and trustworthy interactions in such networks. It paves the way to making the power of quantum devices for computation and communication available to a wider public remotely and through classical means.

Keywords: quantum interactive proofs,verification,self testing,device independence
Probing Stakeholder Engagement: The Role of International Law in Active Conflicts (PROSE) (PROSE)

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: Social Sciences and Humanities
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 247553.28
EU funding (EUR): 247553.28
Participants: 1
Project status: SIGNED

International law has often been criticised for its limited influence on state behaviour. However, recent conflicts, notably the Russian invasion of Ukraine and the Gaza conflict, reveal a shift in how states and other actors engage with international legal norms. Rather than being sidelined by geopolitics, international adjudication is increasingly leveraged as a tool in high-stakes political conflicts. PROSE investigates this shift, focusing on how states and actors strategically use judicial processes at the International Criminal Court (ICC) and International Court of Justice (ICJ) to advance their objectives. Through a combination of socio-legal methods and legal analysis, PROSE aims to explore how legal submissions, judicial decisions, and stakeholder motivations influence international legal processes. By examining ICC and ICJ proceedings, particularly in the Ukraine and Gaza contexts, the project will uncover how actors use international law to shape outcomes during active conflicts. PROSE will also conduct interviews with key stakeholders to assess the broader implications of these legal engagements on international law’s evolution. The project has three main objectives: (1) to analyse how various actors—including states, international organisations, and NGOs—utilise international legal proceedings to shape arguments in conflicts; (2) to investigate the rationale behind the choice of legal strategies and venues; and (3) to evaluate the broader impact of these engagements on international law and its enforcement. Undertaking this research at UCPH, particularly at iCourts, will significantly benefit my academic development by integrating sociological and legal perspectives, positioning me to contribute to interdisciplinary studies of international law.

Keywords: international law,international criminal law,dispute resolution,legal sociology,international adjudication
Novel AI-based shopping platform for 100% product supply transparency and smart redirection from e-commerce platforms to local retail to create a resilient European retail sector (SmartOnlineSalesRedirectionPlatform)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 3172500.0
EU funding (EUR): 2220750.0
Participants: 1
Project status: TERMINATED

Large online platforms bring increasing difficulties for retailers to attract end users to local offerings. Between 2016 & 2018 122,677 retail businesses were closed in the EU. City centres start to extinct, local retail loses market shares. To stop these trends & help retailers in regaining a wide reach, we built the first self-learning AI platform for retailers. The core technology is a browser plug-in for web-browsers. When an end user searches for a product on a shopping platform, e.g., Amazon, and opens a product site, alocalo’s search algorithm identifies the displayed product and suggests local retailers who provide the searched article. Within less than 1s the end user gets the recommendation for the trader together with the local shop’s name, distance to the shop, address & contact data. The plug-in shows the availability of the searched product & end users are directed to the retailer’s web shop to order online (guaranteed delivery next day) or buy it locally.

Keywords: e commerce,product recommendation,search algorithm,smart buyer redirection,local retail,product supply transparency,ai based shopping,browser plug in
Modern Equation of State for Electrolytes (ElectroSAFT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Denmark
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2024-12-01
End date: 2026-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The objective of this project is to develop and make available in various forms an equation of state for electrolyte solutions, eSAFT-VR Mie, developed during the ERC project "New Paradigm in Electrolyte Thermodynamics". The model can be applied across a wide range of temperatures, pressures, and solvents, solving the problems of currently used models in industry and research. We aim to integrate the model into a user-friendly tool featuring a Guided User Interface (GUI) and a CAPE-OPEN or user model interface for commercial simulators, allowing the non-expert user to apply the model in day-to-day work. The tool and the user model will be available under various licences and conditions (1-academic use licence, 2-non-comercial industrial licence available to industrial consortia managed by the PI, 3- commercial use licence for any entity interested in buying it). This strategy will facilitate wider distribution and testing, thereby promoting the development of a robust tool relevant (but not limited) to industry and academia.

Keywords: electrolytes,esaft vr mie
SpiNNaker on the Edge (SPINNODE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Challenges
Action type: EIC actions
Countries involved: Germany
Call: EIC Transition Challenge: Green digital devices for the future (HORIZON-EIC-2022-TRANSITION-01, 2022)
Start date: 2023-05-01
End date: 2025-09-30
Duration (months): 29.0
Total project cost (EUR): 2499998.75
EU funding (EUR): 2499998.75
Participants: 1
Project status: SIGNED

AI driven systems are improving our lives tremendously, but they face a performance wall. They have to rely on hardware with communication bottlenecks that limit AI applications and waste a lot of energy. In 2013, Europe launched the billion-euro Human Brain Project to deepen our understanding of neuroscience and neuromorphic computing. SpiNNcloud Systems is a deep-tech spinoff leveraging cutting-edge research backed by thousands of publications from the Human Brain Project to provide highly-parallel and real-time computing solutions that can power third generation of AI-driven systems. Our unprecedented SpiNNcloud platform presents a unique combination of Neuromorphic, Deep Learning and Symbolic layers which yield real-time, low-latency, energy-efficient and cognitive AI systems. Up to now, our technology has been limited to large-scale systems on the cloud. Our project will enable us to develop SpiNNode edge system so that AI applications can run on the cloud to edge continuum in real time. This will not only increase the visibility of SpiNNaker2 technology, it will also set up a new path for commercializing our core technology. With EIC Transition support, we will translate cutting edge science originating from the Human Brain Project into solid industrial applications. Our mission is to be the European pioneer driving the third wave of AI: real-time, autonomous and sustainable.

Keywords: human brain project,spinnaker,spinnaker2,artificial intelligence,statistical ai,neuromorphic computing,neural networks,spiking neural networks,snn,deep neural networks,dnn,edge to cloud
6G Localization: The union of non-terrestrial, terrestrial networks, and RIS (6G-LUNAR)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-05-15
End date: 2027-05-14
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

The surge in demand for precise localization services, driven by location-based applications and autonomous vehicles (AVs), necessitates advancements beyond current GPS and 5G technologies. 6G presents a transformative opportunity by leveraging non-terrestrial networks (NTNs), sub-terahertz terrestrial networks (TNs), and reconfigurable intelligent surfaces (RIS). NTNs extend cellular localization to remote areas through LEO satellite constellations. Utilization of sub-terahertz frequencies in TNs results in precise range and angle measurements, especially in complex urban environments. Finally, RIS enhances signal propagation by overcoming obstacles and extending the reach of NTNs and TNs. To this day, no unified framework exists for integrating NTN, TN, and RIS for localization purposes. The 6G-LUNAR project aims to bridge this gap to meet the stringent AV localization needs within the 6G-LUNAR paradigm. To do that, three work packages are set. WP1 focuses on developing a unified theoretical framework and a holistic simulation tool. WP2 derives the theoretical error bounds and conducts short-term and long-term system optimization. WP3 leverages the applicant's experience in sensor fusion algorithms to integrate NTN, TN, and RIS technologies. Various integration methods, including least-squares and Kalman filters, will be explored for snapshot localization and tracking. Loosely coupled and tightly coupled integration schemes will be evaluated and benchmarked against theoretical bounds using the simulation tool developed earlier. Realizing the 6G-LUNAR project will not only shape the future of cellular-based location services but also the future of the applicant. Through the vast network of the supervisor, the applicant will interact with world-leading academics and industries and participate in large EU projects. Through these interactions, the applicant will sharpen his technical and managerial skills to realize his dream of becoming a renowned academic.

Keywords: 6g localization autonomous vehicles state estimation and tracking estimation theory system optimization