Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Ascento Indoor Robot for data center safety, security and availability (Ascento Indoor Robot)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Switzerland
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2458400.0
EU funding (EUR): 2458400.0
Participants: 1
Project status: CLOSED

Ascento proposes the development and commercialization of the Ascento Indoor Robot, an autonomous inspection and security platform tailored for data centers. The objective is to enhance safety, security, and operational continuity in one of the world’s most critical and rapidly expanding infrastructures. The project addresses acute labor shortages, rising operational costs, and the need for continuous uptime through robotic automation capable of operating 24/7 in high-security indoor environments. The Ascento Indoor Robot integrates advanced AI-driven thermal and visual analytics, on-premises data processing, and robotic manipulation for autonomous door handling and equipment inspection. It operates in both scheduled and on-demand modes, performing continuous security patrols, safety checks, and guided contractor escort missions without remote supervision. With features such as top-to-bottom scanning, dual escort modes, and on-prem hosting, it provides unmatched autonomy, efficiency, and privacy compliance. The project has been demonstrated to several Datacenter hyperscalers that are already customers of other Ascento Robots. and they have shown very high interests in the Ascento Indoor Robot.

Keywords: robotics,data centers,automation,inspection,surveillance
4-Deep Brain Reconstruction (4-DBR)

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,Denmark,Italy,Spain,France
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-09-01
End date: 2026-02-28
Duration (months): 42.0
Total project cost (EUR): 2987775.0
EU funding (EUR): 2987775.0
Participants: 8
Project status: SIGNED

The 4-Deep Brain Reconstruction, 4-DBR consortium aims at generating a brand-new technological approach to regenerate brain affections that occurs in neurological disorders. With 180 million affected people and an economic burden of 798 billion euros/year, Europe needs a radical leap in the future. The complexity of the human brain has condemned every past attempt at regeneration because incomplete technologies did not allow for a full recapitulation of the brain properties and any one of them missing jeopardized the functionality of the whole. There can't be any incremental solution for brain damage, the technology must be all-in. 4-DBR will focus on developing an implantable 4D reconstructed brain able to recapitulate all brain properties: a complex architecture of neuronal cells integrated in a complete blood circuitry, that will be complemented with an integrated opto-stimulator to induce correct specification and integration of neurons. 4-DBR integrates 6 technological leaders from complementary fields who will unite to develop the components of reconstructed-brains: laser-assisted bioprinting of pre-differentiated neurons with their native decellularized brain matrix, extrusion bioprinting of vascular system, in vitro blood-brain-barrier reconstruction and a tissue integrated wireless-controlled stimulating optoelectrical chip. These 4 components will then be combined into a transplantable reconstructed brain that will be tested in a small animal model of Huntington’s disease. While a first prototype will be delivered in 36 months, the vision unifying 4-DBR expands way further. Therefore, the project will put into action a strong dissemination and exploitation plan: horizontally, 4-DBR will ensure the uptake of the generated methods to strengthen Europe’s technological actors; vertically, 4-DBR will thrust the reconstructed brain approach up in the development ladder to potentially generate in a 10-year span a therapy to change the lives of many patients.

Keywords: 3d bioprinting,organoid transplantation,optoelectrical chip engineering
TOXIcology & BEE COGnition : Uncovering the Impacts of Pesticides on Honey Bee Cognition (TOXIBEECOG)

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: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: SIGNED

Honey bees play a key role in diverse ecosystems due to their pollination services. This activity depends on the capacity to learn and memorize floral olfactory and visual cues, thus bees are not only able of simple associative learning but also master higher-order forms of learning. Reversal learning (RL) and Negative Patterning Learning (NPL) help bees to effectively exploit complex environments. Foraging leads to pesticidal exposure, contributing to the concerning decline of bee health. Several studies revealed the adverse effects of pesticides on bee health, but their impact on higher-order cognition is still unaddressed. Focusing on this vital form of behavioural plasticity is important as it could reveal pesticide impairments at unsuspected low doses, as compared to simpler and more robust learning tasks (e.g. Differential Learning, DL). Thus, it is relevant and timely to explore the impact of pesticides on higher-order cognition in bees, focusing on both ‘classic’ (neonicotinoid) and newer (sulfoxamine) common insecticides. Here, we aim to investigate the impact of field-realistic exposure to a neonicotinoid and a sulfoxamine on three ecologically relevant learning tasks of varying cognitive complexity (DL, RL, NPL). While DL is a case of simple associative learning, RL involves transient stimulus ambiguity and requires learning flexibility; NPL is a case of non elemental learning as stimulus ambiguity is constantly present during the learning task. These problems will be studied in the olfactory domain, using olfactory conditioning, and in the visual domain, using a virtual reality approach. These protocols will be combined with various forms of pesticide exposure. We will determine how pesticides affect higher-order problem-solving in bees and will provide insights into the underlying neural mechanisms of pesticide effect on learning and memory. Our project represents an innovative initiative aiming at bridging the gap between cognition and ecotoxicology.

Keywords: honey bees,cognition,pesticides,neonicotinoids,clothianidin,sulfoxaflor,bee health,problem solving,per,reversal learning,differential conditioning,negative patterning,virtual reality
Isolating Many-Particle Correlations in Time and Space (IMPACTS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 2499480.0
EU funding (EUR): 2499465.0
Participants: 1
Project status: SIGNED

Electronic excitations are crucial in many fields of science and engineering. Time-resolved spectroscopy is widely used to detect dynamics of excited particles (electrons) and quasiparticles (e.g., excitons or plasmons). In the scheme of “femtochemistry” established since decades, one excitation is placed into the system by a pump pulse and its evolution observed by a time-delayed probe pulse. However, this does not resolve correlations between multiple excitations making it impossible to understand important quantum phenomena. We shall develop and apply new experimental methods to determine multi-particle correlations, based on isolating higher (than fourth) orders of perturbation theory systematically. We will separate these contributions without requiring a-priori models. With tailored femtosecond laser pulse sequences, we circumvent the stochastic nature of light–matter interaction even though we use only classical light and retrieve information from specific orders of a perturbative expansion, hitherto only accessible theoretically. We also consider that many materials are heterogeneous. Thus, we isolate multi-particle correlations in space by combining high nonlinear orders with fluorescence microscopy and photoemission electron microscopy. This enables us to avoid ensemble averaging and obtain information for specific domains down to the single-molecule limit. Our methods will be applied to determine exciton diffusion in organic materials, chiral excitonic couplings, plexciton–plexciton interactions, quantum coherence in multi-exciton generation, phonon–phonon couplings in quantum dots, and the role of dark states in correlated materials. We expect IMPACTS to change how complex systems are studied with ultrafast spectroscopy. Overcoming limitations of single-particle models, we seek a holistic picture of correlated dynamics, impacting our understanding and application of solar energy conversion, transport in functional materials, and quantum technologies.

Keywords: femtosecond spectroscopy,excitons
Sustainable Careers for Researcher Empowerment (SECURE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Reforming and enhancing the European R&I System
Theme: Reforming and enhancing the European R&I System
Destination: Reforming and enhancing the European R&I System
Action type: Coordination and support actions
Countries involved: Spain,Cyprus,Portugal,Romania,Serbia,Austria,Hungary,Germany,United Kingdom,Belgium,Ireland,France,Croatia,Sweden
Call: Developing an effective ERA talent pipeline (HORIZON-WIDERA-2022-ERA-01, 2022)
Start date: 2023-01-01
End date: 2025-03-31
Duration (months): 27.0
Total project cost (EUR): 1319423.14
EU funding (EUR): 1319375.0
Participants: 19
Project status: CLOSED

The Sustainable Careers for Researcher Empowerment (SECURE) project will develop coordination and support measures to create, trial, implement, and mainstream a common Research Career Framework (RCF) that offers a suite of options to support organisations in the recruitment, employment, training, development, progression, and mobility of researchers with the aim of improving research careers and reducing career precarity. The RCF will recognise the research profession across sectors, provide a career development and progression structure for research careers, recognise both research and transferable skills and competences, facilitate intersectoral collaboration and mobility, and offer solutions to the precariousness of research careers in academia. SECURE will test aspects of the RCF and TTL models in trials in four RPOs, one RFO, and one recruitment agency . The trial organisations will first conduct a scoping exercise to map the RCF onto their existing policies and activities for research careers before developing integration plans on how the RCF could be adopted into their existing policies and activities. Due to the short duration of the project and window for trials, it is expected that only some aspects of the RCF and TTL models will be tested. The trial organisations will thus develop actions plans, selecting relevant aspects from the integration plans, to test and implement during the trials. SECURE will mainstream the RCF and TTL models through a series of policy briefs and a summit that explain key aspects of the RCF and TTL models to relevant organisations employing researchers. The RCF and TTL models will be further promoted through key partner organisations in the project targeting researchers, RPOs, and companies. The RCF and TTL models will lastly be promoted in the EURAXESS network including the many EURAXESS service centres, the newly established EURAXESS hubs, and through the ERA Talent Platform being developed.

Keywords: researcher career development framework tenure track progression precarity
Spin-dependent string fragmentation (SPINFRAG)

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 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 1
Project status: SIGNED

The fragmentation process is one of the most intriguing and poorly understood phenomenon of quantum chromodynamics (QCD). It belongs to the non-perturbative domain of QCD and is usually described by process-independent fragmentation functions (FFs). Traditionally, non-perturbative effects in the fragmentation process related to the quark-spin degree of freedom have been neglected and only recently their importance has been brought to light by the discovery of the Collins effect in transversely polarized quark jets. Such effect, described by a new spin-dependent FF, is a polarimeter for the transverse polarization of the quark initiating the jet and is presently used to access the partonic structure of nucleons. This project is dedicated to the study of the spin-dependence of the fragmentation process in the framework of the recent string+3P0 model, an extension of the Lund Model reproducing the Collins effect and other effects observed in fragmentation, to the development of the model, and to its implementation in the PYTHIA8 event generator for the simulation of the electron-positron annihilation process in hadrons. The end goal is the introduction of spin-effects in the polarized fragmentation of arbitrary string configurations originated from the parton showering process. The implementation of the string+3P0 model in the PYTHIA8 generator will be achieved by extending the StringSpinner package, which will be used for the phenomenological description of the spin-dependent observables measured in electron-positron annihilation. The proposed project will bring to new insights on the spin-dependence of the fragmentation process and to a practical open access MC event generator program acting as a theoretical laboratory for the study of this process. On a longer term, the project is expected to lay the foundation for the systematic introduction of spin effects in the PYTHIA8 generator for other collision processes as well.

Keywords: polarized fragmentation,monte carlo event generator,qcd,spin correlations,string fragmentation
Optimal Control of Solar Energy Plants (OCoSEP)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2023-10-01
End date: 2025-03-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

This POC will prove that coalitional Model Predictive Control (Co-MPC) can be implemented on the existing distributed control system (DCS) of a real commercial solar trough plant (50MW) and can significantly increase the amount of solar energy collected and significantly reduce maintenance costs. This will be the first time that a Co-MPC is implemented in a real plant with so many dynamically interconnected subsystems (90). We have demonstrated that manipulating the loop HTF flows is fundamental for maximizing the collected solar energy in trough plants. The resulting MPC problem is too difficult to be solved with current control techniques because the number of dynamically coupled systems, up to 3200 collectors and 800 manipulated variables in the biggest solar trough plants and the complexity of the collector dynamics (nonlinear PDEs). The idea of Co-MPC is to divide the resulting complex MPC problem into several simpler MPC problems. Each of the MPC controls a coalition formed by a reduced number of subsystems. The coalitions are dynamically formed by clustering loops that can benefit from cooperation by exchanging the allocated oil flow (manipulated variable for each loop). This is done by using a market-based clustering MPC strategy in which controllers of collector loops (agents) may offer and demand heat transfer fluid in a market. Artificial neural networks will be used to approximate MPC controllers to decrease the computational load. We have shown that these techniques speed up the MPC computation time by a factor of 3000 allowing the implementation of coalitional MPC in the biggest solar trough plants. The PI has long experience in MPC control of solar energy systems and in the control of commercial solar trough plants having designed, implemented and commissioned MPC control systems for 17 commercial solar trough plants. A letter of support/intend of the industrial sponsor (one of the biggest stakeholders in Europe) is included.
Algebraic and Topological Approaches for Atomic Nuclei and Related Systems (AlgeTopo)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-10
End date: 2025-09-09
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 1
Project status: CLOSED

The primary goal of the current proposal is to understand the structure of atomic nuclei and its evolution by means of algebraic and topological approaches, and to employ the algebraic approach to Quark Gluon Plasma. The algebraic approach can offer considerable insight into complex dynamics by classifying underlying symmetries, derive selection rules, calculate many observables and predict many properties in nuclei in a tractable manner. The topological approach can offer new insight into the phases of matter of the nucleus.The different objectives of the proposal are "Monte-Carlo code for interacting fermions and bosons": we will develop a new open-access code for numerical calculations of fermions and bosons using the Monte-Carlo method. "Mapping the Shell Model (SM) onto the Interacting Boson Model (IBM)": we suggest a novel mapping approach based on effective field theory (EFT) in which we write the SM and IBM in EFT and investigate the structure of Lie algebras of the Feynman integrals, a method used for calculating multiloop radiative corrections, and use them to map the SM onto the IBM. "Topological phases of atomic nuclei": we will investigate the occurrence of Berry phases in semi-magic mid shell nuclei and find classes of topological orders in atomic nuclei by examining known and new analogies with condensed matter physics. "Algebraic approach to QGP": we will introduce a new algebraic model for QGP based on boson-fermion effective degrees of freedom with similar principles as the interacting boson-fermion model for atomic nuclei, in order to calculate the phase diagram in a tractable framework with insight to the symmetries of the diagram. The above objectives can spur more studies by the researcher, the supervisor and other experimental and theoretical research groups in different fields of physics and thus the researcher asks for their funding.

Keywords: interacting boson model,nuclear shell model,group theory,topological orders,quark gluon pasma
SmaRt, AutOmated, and ReliaBle SecUrity Service PlaTform for 6G (ROBUST-6G)

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: Türkiye,Spain,Sweden,Ireland,Italy,France,Greece
Call: Reliable Services and Smart Security (HORIZON-JU-SNS-2023, 2023)
Start date: 2024-01-01
End date: 2026-06-30
Duration (months): 30.0
Total project cost (EUR): 4202053.66
EU funding (EUR): 3999956.5
Participants: 14
Project status: SIGNED

There is a strong upcoming need for communication and beyond technology on the 2030 horizon, with the transformations having been set in motion by 5G, and increasing expectations in society, accelerated by advancements in enabling technology, and moving toward new services and use cases. To address the demanding and diverse needs of the anticipated use cases, 6G networks must be highly programmable, exceedingly adaptable, and efficient. Nevertheless, the additional level of efficiency, programmability and flexibility will come at the expense of increasing complexity in managing and operating 6G networks. To bring this complexity under control, a paradigm shift toward complete automation of network and service management is required. However, a significant obstacle to full automation is the protection of the network services, infrastructure and data against possible cybersecurity risks introduced by the unheard-of expansion of the 6G threat landscape. ROBUST-6G aims to address these cybersecurity risks by 1) providing fundamental contributions to the development of data-driven, AI/ML-based security solutions to meet the new concerns posed by the dynamic nature of the future cyber-physical continuum 2) implementing fully autonomous zero-touch security management functionalities 3) exposing security functionalities to verticals and providing necessary data management 4) protecting AI/ML systems from security attacks and ensuring privacy of individuals whose data is used in the AI-driven systems. 5) providing secure, privacy-preserving and robust distributed intelligence with transparency enhancements by elaborating the explainability in AI/ML 6) achieving energy efficient 6G network design with green and sustainable AI methodologies 7) leveraging different sources of information, ranging from sensing, positioning to authentication, and advanced AI/ML methodologies for detection and mitigation of physical layer attacks and threats.

Keywords: cybersecurity,distributed intelligence,trustworthy and sustainable ai,physical layer security,security orchestration,