Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Vegetalising Ancient Architecture. A Multi-scalar Approach of the Relationship with Nature: Gardens, Vegetal Décors and Architecture in Gallo-Roman Sanctuaries (1st-3rd c. AD). (VegArch)

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: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: CLOSED

Amid today’s environmental challenges, the long-standing Western divide between nature and culture is increasingly being called into question. Roman Antiquity, a significant period in our past, helps us reconsider such opposition. For the Romans, maintaining a harmonious relationship with ‘nature’ was essential to sustaining order and prosperity, as it was not a mere physical environment, but a subversive force, a realm intertwining the sensory with the divine. The use of real and iconographic vegetation in the living spaces was a central concern. The VegArch project aims to explore this vegetalisation within the specific context of Gallo-Roman sanctuaries of the 1st-3rd c. AD. From the penetration of Italic traditions to an unprecedented ‘hypervegetalisation’ of architecture, this greening has long been explained by a presumed persistence of Celtic naturalism or a mere decorative trend. Its role in shaping the experience of nature, the cosmos, and the divine can now be addressed with the expanding archaeological data and ecofacts and through an interdisciplinary approach. The vegetal forms will be gathered and compared in a trans-medial analysis, considering real and artificial forms as one and the same vegetal art and the sanctuary as a unitary system. This formal step will highlight the specificities of Gallo-Roman contexts in a global/local perspective. Through comprehensive and contextualised case studies, the vegetal forms will then be analysed in their spatial, temporal and sensory dimensions to reveal their polysemic value and how they engage the senses and shape the experience of the sacred. The resulting synthesis will contribute to the cultural history of vegetalisation of Western architecture, helping to unveil the relationship with nature in ancient societies, questioning our own practices and beliefs. The VegArch project, for which ENS is the ideal institution, will open numerous new perspectives and foster long-term European collaborations.

Keywords: gaul,sanctuaries,roman gardens,architecture,vegetalisation,d cor,vegetal ornament,iconography,ecofacts,relationship with nature,architectural sculpture,mosaic,painting,stucco,plant
The Evolution of Logic (EvoLogic)

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: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-02-01
End date: 2025-01-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

Our ability to reason by logic is exceptional in nature. We are the reasoning animal. Like all animals, we evolved during a long natural process. Unlike other animals, we developed sophisticated minds and a complex language that contains logical structure. Yet it is remarkably unclear how logic became part of nature. Where does logic come from? The goal of this project is to understand the origins of the human capacity for logical reasoning. Merging philosophical logic and evolutionary linguistics, the general hypothesis is that logic evolved to support social interactions and efficient communication. The particular focus will be on the evolution of quantificational reasoning, which is key to the ability to generalize and to count. There are three parts to this project. First, to explain what we have: the grammar of natural language includes simple words to express quantification ('every', 'always'). What were the conditions for the emergence of the cognitive abilities thereby manifested in speech? Second, to explain what we don't have: no language of the world includes simple words for concepts such as 'not every' and 'not always'. These quantifiers have to be expressed compositionally, by combining simpler building blocks ('not' with 'every' and 'often'). This is not a coincidence: the difference between what can be expressed as a lexical item and what must be expressed by composition is the difference between what can be memorized by the child acquiring a language, and what must be generated by the grammatical engine. Third, to explain how it all comes together: is logic the result of natural selection, cultural inheritance, or something else? The study of logic from an evolutionary perspective will provide a window into the origins of the human mind, with a wide-ranging impact on philosophy and neighboring disciplines.

Keywords: evolutionary linguistics,philosophy of logic
Robust Generative Information Retrieval (UNITE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2868930.0
EU funding (EUR): 2868930.0
Participants: 1
Project status: SIGNED

Generative information retrieval is an emerging paradigm that replaces the traditional index-then-retrieve pipeline by encoding all information about a document collection in the parameters of a model. The retrieval task is then formalized as a sequence-to-sequence learning problem, making it possible to optimize the system end-to-end. This enables optimization towards a broad range of goals, not just short-term utility ones but also broader long-term objectives, such as fairness and diversity. Trustworthiness is a prerequisite for the development, deployment, and use of AI-based systems. With UNITE I propose a technical agenda to understand how we can build warranted trust in generative information retrieval while reaping the benefits of the potential this paradigm promises for optimizing for goals beyond short-term utility. My methodological innovations will be based on advancing the foundations of generative information retrieval and a synthesis of generative information retrieval with reinforcement learning, capturing the sequential and interactive nature of retrieval, thus offering a principled way to deal with long-term goals. These advances will be pursued along three lines where generative information retrieval needs to uphold verifiable guarantees: accuracy, including well-defined and explained contexts of usage; reliability, including exhibiting parity with respect to sensitive attributes; and resilience to distributional shifts and adversarial examples. I will also study ways to probe generative information retrieval methods to aid explainability, reproducibility, and safety. We will demonstrate the utility of our new methodologies on tasks of great societal value: news search and recommendation, and information retrieval for climate impact. While adventurous, UNITE has great algorithmic significance. It may lead to a fundamental re-assessment of how the field conceptualizes, evaluates and optimizes the success of information retrieval methods.

Keywords: generative information retrieval
PREDICT: PRoviding Effective longitudinal models of RAS DIrect inhibition to Combat Tumor resistance (PREDICT)

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: Italy
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-01-01
End date: 2026-06-30
Duration (months): 18.0
Total project cost (EUR): 167142.86
EU funding (EUR): 150000.0
Participants: 2
Project status: SIGNED

Problem: In 2022, more than half a million lung cancer patients worldwide carrying KRAS mutations faced therapy resistance, a trend on the rise. Such cancers resist standard treatments and targeted therapies, leading to an average survival of 1.2 years post-treatment. The heterogeneous genetic background of KRAS-driven cancer adds further complexity, hindering personalized treatment due to resistance unpredictability. Solution: Our Proof Of Concept (PoC) project PREDICT provides a personalized treatment roadmap for KRAS-mutant lung cancer, available through knowledge and genetic tools generated thanks to our ERC CoG grant KARMA, which was aimed at the understanding of the molecular mechanisms regulating the formation of the functional KRAS complex at the cell membrane. Using genetically-defined KRAS-mutant cell lines, our lab can facilitate direct comparisons of RAS-targeted treatments, including approved and trial drugs. This effort will empower clinicians to recommend effective strategies based on a patient's specific KRAS mutation, accounting for initial and potential acquired mutations and/or mechanisms of resistance. The model will evolve through in vitro testing, analyzing resistance mechanisms, and predicting therapies based on the patient's mutational landscape. Importantly, our approach eliminates the need for animal models.
Synnada: Efficient Compute for Model Training Synnada: Efficient Compute for Model Training Synnada: Efficient Compute for Model Training (Synnada)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Türkiye
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 20.0
Total project cost (EUR): 5000000.0
EU funding (EUR): 5000000.0
Participants: 1
Project status: SIGNED

GenAI demand drives exponential spending on model training and maintenance. By 2024, global spending on model training may top $100 billion, with leading organizations spending well over $1 billion. If historical growth rates persist, costs may reach $1 trillion by 2030, using 3-4% of global electricity supply. Hardware advances struggle to keep pace, ever-inflating costs threaten to concentrate state-of-the-art AI capabilities in the hands of a few deep-pocketed technology giants and governments, hampering the broad diffusion of AI breakthroughs. The push to solve complex problems has led to the development of increasingly larger models trained with vast datasets. These models, while powerful, are extremely sensitive to hyperparameters, making the training process lengthy and expensive. Traditionally, increasing model size has been the strategy to desensitize them to hyperparameters, resulting in a cycle of unsustainable growth. This approach makes state-of-the-art AI capabilities accessible only to a few, limiting broader socio-economic growth and innovation. Synnada’s innovative solution aims to revolutionize model training by introducing a highly efficient training infrastructure. Our novel training algorithm eliminates the need for hyperparameters, addressing the core issue of inefficiency in current AI training methods. Synnada’s breakthrough lies in enabling the creation of miniaturized yet powerful models. Our technology addresses the root cause of growing model sizes, making AI more scalable and applicable across various fields. Initial results from PoC show that our solution delivers 350x better performance, significantly enhancing efficiency. The implications of Synnada’s technology are profound. Miniaturized models can be deployed on edge devices with limited computing power. This democratizes AI by making advanced tools available to smaller organizations and individual developers.

Keywords: generativeai,model training,model training optimization,machine learning,optimization algorithms
Next Generation LiDAR for Automotive and Industrial Use Cases (LiSSA 3D)

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 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 3428942.5
EU funding (EUR): 2400259.75
Participants: 1
Project status: CLOSED

Hybrid Lidar Systems has invented a patented hybrid technology (ToF + PV) for determining distances with light, which has enabled us to develop LiSSA 3D Lidar, the next generation of 3D Solid State Flash LiDAR sensors for enhanced driving safety. LiSSA (Lidar for Smart Sensing and Automotive) represents a revolutionary LIDAR approach, which not only provides a high resolution (double VGA) but also guarantees a very good accuracy level (<1cm for a 200m range). Furthermore, LiSSA 3D applies a multi-spectral approach to cover more than one area at a time, which allows for a better object classification. LiSSA 3D will be of great importance for autonomous driving, enabling the detection of small objects at long distances at the usual speed. The goal of this project is to equip every moving object in road traffic with our LiDAR sensor technology so as to raise traffic to a new level of security. LiSSA 3D has a low computational effort, enabling the innovation to be offered at a low cost.

Keywords: time of flight tof,signal processing,resolution,autonomous vehicle,lidar systems
Versatile water vapour isotope calibration device (VISOR) for laboratory and field use (VISOR)

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: Norway
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2022-11-01
End date: 2024-07-31
Duration (months): 21.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Climatic change will have large impacts on the global water cycle, and thus on hazardous weather and the availability of water to society. Earth observation from the ground and space is necessary to detect how and where the water cycle changes. The stable isotope composition of water vapour and precipitation is a sensitive indicator of ongoing and future water cycle changes. Continuous, ground-based observation of water vapour isotopes has recently become possible by the more widespread use of infrared laser spectroscopy. However, there is currently a lack of solutions that would allow to fully and easily characterize these analyzers and the corresponding air inlet system with regard to several important measurement artefacts that degrade data quality. Within the ERC CoG project ISLAS, we have developed a prototype of the VISOR device that would fill this gap, based on a technology that has so far rarely been used for this purpose. Possessing a substantial range of flexibility, the VISOR device furthermore has the potential to reduce measurement time and thus the cost of routine liquid water isotope measurements in laboratory measurements. Exploring the innovation potential of the VISOR device may therefore enable a breakthrough in two application sectors: 1) scaling up networks for water vapour isotope Earth observation globally, thus enabling better climate hazard preparedness, and 2) become a first choice for laboratories that measure water isotopes for research, forensic analysis, or the control of food origin.
Elucidating the underwater adhesion of the brown algae Fucus vesiculosus (FucAd)

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: Chemistry
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: SIGNED

Many marine organisms of the intertidal zone like mussels, barnacles and various algae must form strong attachments to the substrate in their environment in order to resist forces of crashing waves. Therefore, they evolved high-performance underwater adhesives which are able to stick to various surface chemistries - a feat unmatched by current glues on the market. Understanding the chemistry and formation process of these adhesives has great potential for the development of synthetic underwater glues which are of high interest for medical and industrial applications. Here, I propose to conduct research on the underwater adhesion of the brown macroalgae Fucus vesiculosus analyzing its composition, structure and adhesive properties. For this purpose, the early formation process shortly after the fertilization of Fucus egg cells will be analyzed using a combination of traditional histology and advanced electron microscopic and spectroscopic techniques. Once key building blocks have been identified, their dynamic secretion and assembly process will be followed over time. Additionally, the curing of the adhesive and the involved crosslinking reactions will be investigated after different time points. Elucidating key chemical principles of the complex formation of this underwater adhesive has the potential to inspire the development of novel and sustainable adhesives with a wide range of applications.

Keywords: adhesion underwater adhesives polyphenols
CELLulose nanocomposite separators for the nEXt generation of smart batteries (EXCELL)

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: Portugal
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-06-01
End date: 2025-02-28
Duration (months): 21.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

As the popularity of electric vehicles continues to increase, so does the number of batteries reaching the end-of-life that are used to power them being expected that by 2030 it will reach 2 million tons worldwide. On top of this the complexity of battery production results in very high scrap rates (about 10%-30%), especially during production ramp-up, while the scarcity of raw materials in Europe are intensifying EU regulations to localize supply chains and safeguard critical raw materials. It is evident that there is strong need to increase sustainability in the batteries value chain and contributions may come from improving both their lifetime and recyclability of the cell components. In EXCELL it is proposed to prove a new concept for batteries separators based on a 100% natural cellulose nanocomposite with tuneable mesopores obtained by a mixture of nanofibers and cellulose nanocrystals. Additionally, these new separators will be suitable for the incorporation of sensing elements that will enable the new generation of smart battery cells. EXCELL will follow the outputs of NEWFUN-StG where it was demonstrated that cellulose based ionic conductive materials are possible to be recycled and reused while maintaining the electrochemical performance. The PI’s team has also demonstrated that cellulose nanocrystals are able to create mesoporous ionic conductive channels that can be tunned to specific alkali ions but proper functionalization of the crystals’ surface. EXCELL will now demonstrate the synergic effect of combining both to form hierarchical mesoporous membranes exhibiting a unique set of characteristics that can meet those ones expected for an “ideal” separator. EXCELL will follow an approach of validating the new separator concept and then implement a IPR consolidation and a business case to attract the attention of battery market stakeholders on new opportunities for cell components based on abundant natural resources that are recyclable/biodegradable.
Community-centred language REVItalisation powered by heritage-led storytellling and digital innoVation in Europe (REVIVE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: United Kingdom,Italy,Germany,Serbia,Romania,Portugal,Estonia
Call: Strategies to strengthen the European linguistic capital in a globalised world (HORIZON-CL2-2024-HERITAGE-01, 2024)
Start date: 2025-03-01
End date: 2028-02-29
Duration (months): 36.0
Total project cost (EUR): 2999757.5
EU funding (EUR): 2999757.5
Participants: 9
Project status: SIGNED

Languages are part of our shared Cultural Heritage and gateways to European multicultural identity. Within this framework, Endangered Intangible Heritage and Language (EIHL) communities hold unique traditional knowledge that supports a distinct sense of place-making and long traditions of cultural and heritage sustainability within some of the most vulnerable ecosystems. Although digital technologies provide a uniquely powerful opportunity to revitilise EIHL, previous efforts have predominantly concentrated on preserving grammatical/lexical aspects. There remains untapped potential in exploring the integrated use of immersive technologies and participatory storytelling for linguistic heritage revitalisation through active community engagement. REVIVE will identify and evaluate the role of digital innovation, creativity and interactive narratives in promoting understanding and engagement with EIHL, fostering social integration and cross-cultural fertilisation among marginalised European communities. The project will be based on two concrete case studies and cultural contexts: Cornish (UK), and Griko (Italy). Taking advantage of XR (Extended Reality) technologies, REVIVE will produce the first EU online digital scaffolder - so called REVIVE(S) - comprising a) an online repository (and showcase) of old material testimonies collected by locals and new XR digital narratives and b) onsite temporary exhibitions, made of micro and macro outputs born out of REVIVE(S) and setup in selected communities’ venues. These activities will inform policy recommendations, best practice guidelines, and toolkits for EIHL revitalisation, aligning with REVIVE's main goal: demonstrating that citizen participation, multidisciplinarity, and the creative connotation of digital innovation are crucial and effective means for consolidating and promoting multilingualism and EIHL in Europe.

Keywords: intangible cultural heritage,extended reality,digital storytelling,immersive tech,creativity,web platform,co creation,knowledge transfer,evaluation,3d visualisation,language revitalisation