Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
TalkingHeads: Audiovisual Speech Recognition in-the-wild (TalkingHeads)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-01
End date: 2018-05-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Audio-visual speech recognition refers to the problem of recognizing speech using both audio and video information. Speech is not a purely auditory process but the way that the listener perceives it is also through the recognition of the visual patterns associated with the mouth movement. This correlation of the audio-visual information has been occasionally explored in literature in order to develop more robust automatic speech recognition systems for cases in which the auditory environment is noisy (e.g. background noise, multiple speakers). However, the problem of audio-visual speech recognition has been mainly studied in controlled, laboratory conditions. TalkingHeads proposes, for the first time, the problem of audio-visual speech recognition in unconstrained (in-the-wild) videos collected from real-world multimedia databases and a set of methodologies that will work well under the assumed in-the-wild setting. TalkingHeads brings together a talented but experienced researcher (ER) with expertise in speech analysis (diarization and recognition) and the Supervisor with large research experience in Computer Vision for face analysis in-the-wild (recognition, detection, alignment and tracking, and facial expression analysis). TalkingHeads will establish the ER as an independent and internationally recognized researcher in the area of audio-visual fusion and speech recognition. Through TalkingHeads’ achievable work plan, the ER will attain a high level of research maturity by (a) complementing his expertise on speech analysis through extensive training in Computer Vision, (b) conducting research on a challenging research problem (audio-visual speech recognition in-the-wild) with significant career opportunities in both the academia and the industry, (c) publishing at high impact factor conferences and journals, (d) establishing a network of research collaborators, and (e) enhancing personal skills (e.g. supervisory experience, leadership and management skills).

Keywords: audio visual speech recognition,face analysis,in the wild,unconstrained video
Hot-spots of Phosphorus and Nitrogen delivery in Time and Space in agricultural catchments (HotPaNTS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Sweden
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 173857.2
EU funding (EUR): 173857.2
Participants: 1
Project status: CLOSED

Growing food demand exacerbates negative impacts of agriculture on the environment including diffuse nutrient losses from agricultural land to surface and groundwaters causing their eutrophication. The research will evaluate a robust monitoring method of detecting diffuse pollution in space and time in agricultural catchments based on in situ fluorescence sensors. Tangible advantages of the fluorescence sensors: in situ deployment, low cost, real-time measurements, mobility within the catchment, sensitivity and reliability, will be evaluated against potential limitations from quenching effects. This comprehensive evaluation is possible thanks to the host’s unique expertise and role as a coordinator of the Swedish monitoring programme with access to the monitoring catchments, covering a range of agronomic and environmental conditions. Once tested over hot-spots and hot-moments of nutrient delivery, the method could offer an alternative and/or complementary monitoring approach to the existing methodologies of low-frequency and fixed-location nutrient sampling. The tool will improve targeting nutrient sources and mitigation measures to the locations in which they will bring the largest economical, societal and environmental benefits and in turn will help to achieve the aims of the EU Water Framework Directive.

Keywords: fluorescence spectroscopy,sensors,agricultural catchments,diffuse pollution,high frequency in situ nutrient monitoring,nutrients,phosphorus,nitrogen,carbon
Neoplatonism and Abrahamic Traditions. A Comparative Analysis of the Middle East, Byzantium and the Latin West (9th-16th Centuries) (NeoplAT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Ireland,Austria
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-05-01
End date: 2023-10-31
Duration (months): 66.0
Total project cost (EUR): 1992590.0
EU funding (EUR): 1862715.0
Participants: 2
Project status: SIGNED

NeoplAT offers a fresh and thoroughly documented account of the impact of Pagan Neoplatonism on the Abrahamic traditions. It focuses mainly, but not exclusively, on the Elements of Theology of Proclus (fifth century) which occupies a unique place in the history of thought. Together with its ninth-century Arabic adaptation, the Book of Causes, it has been translated, adapted, refuted and commented upon by Muslim, Jewish and Christian thinkers across centuries, up to the dawn of modernity. Despite a renewed interest in Proclus’ legacy in recent years, one still observes a tendency to repeat conventional hypotheses focused on a limited range of well-studied authors. This project radically challenges these conservative narratives both by analysing invaluable, previously ignored resources and by developing an innovative comparative approach that embraces a variety of research methods and disciplines. Specialists in Arabic, Greek and Latin history of ideas, philology, palaeography and lexicography develop an intense interdisciplinary research laboratory investigating the influence of Proclus on the mutual exchanges between the scriptural monotheisms from the ninth to the sixteenth centuries. Based on fundamental archival examinations in underused library collections, NeoplAT aims (1) to identify new Arabic and Latin manuscripts and to continue to explore a corpus of texts recently discovered by the PI, representing a largely unknown intellectual heritage; (2) to retrace the scholarly networks by which Neoplatonism was transmitted between the Middle East, Byzantium and the Latin West, with particular attention to the dynamics of exchange within each cultural milieu; (3) to analyse the impact of Proclus on the history of metaphysics and on the relations between philosophy and theology within the Abrahamic traditions. NeoplAT achieves these goals through a collaborative, adapted methodology; its specific outputs will provide research tools for the broader academic community.

Keywords: neoplatonism,pseudo aristotle,proclus,the book of causes,nicholas of methone,medieval and renaissance philosophy,arabic and latin manuscripts,critical editions,history of metaphysics
DDD60 - High Quality VR for FilmTV industry professionals (DDD60)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Germany,Finland,France,France,United Kingdom
Call: Support technology transfer to the creative industries (H2020-ICT-2016-1, 2016)
Start date: 2016-11-01
End date: 2018-06-30
Duration (months): 20.0
Total project cost (EUR): 1226500.0
EU funding (EUR): 880000.0
Participants: 6
Project status: CLOSED

DDD60 High-Quality VR for Film & TV industry professionals DDD60 will introduce cutting edge video compression and delivery technology to deliver high-quality VR content to Film and TV professionals. DDD60 will show immersive content in some of the leading Film & TV markets worldwide. Driven by the games industry, VR devices are currently flooding the market. Film and TV are picking up VR as well: Content is produced in all areas of film, led by documentaries and journalism, VR is revolutionizing the industry. At a much slower pace, the creators of fictional content are experimenting with the new technology as well. While the creatives are developing the craft of creating VR films, one major obstacle for the distribution of VR content remains: The files are huge. And since the internet infrastructure does not grow as quickly as the size of VR files, content distributors, in an effort to minimize file size, have to greatly reduce the quality of the content they show online – if they can show it at all. In addition, storing big files is expensive, especially for the budget of creative industry SMEs. DDD60 will greatly enhance the quality of VR content delivering online: By improving compression technology and transcoding mechanisms, the size of the files and the amount of information to be delivered through the internet will be reduced greatly, giving distributors the chance to deliver higher quality. And by improving storage and delivery workflows the efficiency and the cost for delivery will be reduced to an extent that will make the online screenings of VR content a viable business for European SMEs.

Keywords: virtual reality,media industry,filmandtv industry
Feasibility study for Bendsai – world’s first standardised machine tending robot (Bendsai)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Lithuania
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-03-01
End date: 2017-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Only 8% of European manufacturing companies had integrated robotic solutions in 2016 . Existing robotic solutions are unaffordable for SMEs and most still rely on ineffective traditional manufacturing devices. Machine tending robots can increase efficiency and safety of operations, but are only available custom made by robotic integrators and are expensive, hard to use and difficult to integrate. There is a market demand for standardized machine tending robots that would be feasible and affordable for manufacturing SMEs. Currently, there are no such commercially available robots on the market. Factobotics seeks to become the first robotic supplier focused on developing and commercialising standardised machine tending robots. To achieve this, Factobotics has developed the first standardised metal sheet bending machine tending robot Bendsai. It will disrupt the machine tending robot industry and provide a roadmap for future introduction of other standardised machine tending robots. Bendsai (TRL 7) can be used to automate operation and feeding of any bending machine and will replace heavy human physical labor in metal sheet bending industry. Bendsai is user friendly, requires a short changeover time, is significantly cheaper than alternatives (40K vs 100K), requires zero integration costs, provides a quick ROI (up to 2 months), is mobile, compact and can easily switch between assignments. To ensure successful commercialisation, in Phase 1 of the SME Instrument, Factobotics intends to develop an elaborate feasibility study that would include: verification of technological and economic viability, redesign of the product, partnership development strategy, a business plan with an extensive financial, pricing, sales strategy and a roadmap for commercialisation of other standardised machine tending robots.

Keywords: advanced manufacturing,industrial robots,machine tending robotsmetal processing,metal bending,automatisation,standardisation
Integrating wireless communication engineering and machine learning (WINDMILL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Spain,Italy,Germany,Germany,Switzerland,Finland,Norway,Sweden,France,France,France,United States,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 4072823.64
EU funding (EUR): 4072823.64
Participants: 22
Project status: SIGNED

With their evolution towards 5G and beyond, wireless communication networks are entering an era of massive connectivity, massive data, and extreme service demands. A promising approach to successfully handle such a magnitude of complexity and data volume is to develop new network management and optimization tools based on machine learning. This is a major shift in the way wireless networks are designed and operated, posing demands for a new type of expertise that requires the combination of engineering, mathematics and computer science disciplines. The ITN project WindMill addresses this need by providing Early Stage Researchers (ESRs) with an expertise integrating wireless communications and machine learning. The project will train 15 ESRs within a consortium of leading international research institutes and companies comprising experts in wireless communications and machine learning. This a very timely project, providing relevant inter-disciplinary training in an area where machine learning represents a meaningful extension of the current methodology used in wireless communication systems. Accordingly, the project will produce a new generation of experts, extremely competitive on the job market, considering the scale by which machine learning will impact the future and empower the individuals that are versed in it. The project will also nurture the sense of responsibility of the ESRs and the other participants through personal engagement in the training program and by promoting teamwork through collaborative joint projects.

Keywords: wireless communications,machine learning,massive mimo,urllc,radio resource management,network slicing,deep learning,reinforcement learning,distributed learning,manifold learning
Deciphering biomineralization mechanisms through 3D explorations of mesoscale crystalline structure in calcareous biomaterials (3D-BioMat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France,France
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-03-01
End date: 2022-08-31
Duration (months): 66.0
Total project cost (EUR): 1966428.72
EU funding (EUR): 1757778.72
Participants: 2
Project status: CLOSED

The fundamental 3D-BioMat project aims at providing a biomineralization model to explain the formation of microscopic calcareous single-crystals produced by living organisms. Although these crystals present a wide variety of shapes, associated to various organic materials, the observation of a nanoscale granular structure common to almost all calcareous crystallizing organisms, associated to an extended crystalline coherence, underlies a generic biomineralization and assembly process. A key to building realistic scenarios of biomineralization is to reveal the crystalline architecture, at the mesoscale, (i. e., over a few granules), which none of the existing nano-characterization tools is able to provide. 3D-BioMat is based on the recognized PI’s expertise in the field of synchrotron coherent x-ray diffraction microscopy. It will extend the PI’s disruptive pioneering microscopy formalism, towards an innovative high-throughput approach able at giving access to the 3D mesoscale image of the crystalline properties (crystal-line coherence, crystal plane tilts and strains) with the required flexibility, nanoscale resolution, and non-invasiveness. This achievement will be used to timely reveal the generics of the mesoscale crystalline structure through the pioneering explorations of a vast variety of crystalline biominerals produced by the famous Pinctada mar-garitifera oyster shell, and thereby build a realistic biomineralization scenario. The inferred biomineralization pathways, including both physico-chemical pathways and biological controls, will ultimately be validated by comparing the mesoscale structures produced by biomimetic samples with the biogenic ones. Beyond deciphering one of the most intriguing questions of material nanosciences, 3D-BioMat may contribute to new climate models, pave the way for new routes in material synthesis and supply answers to the pearl-culture calcification problems.

Keywords: coherent x ray microscopy,biominerals,biomineralization
Characterisation of high altitude metabolic phenotype driven by unique Andean genetics. (Champagne)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 271732.8
EU funding (EUR): 271732.8
Participants: 2
Project status: SIGNED

High-altitude hypoxia is a known physiological stressor. Genetic signals associated with high-altitude adaptation have been identified in populations native to this environment, yet the links to molecular/physiological processes affording protection against hypoxic stress, specifically those related to metabolic function, remain largely unknown. Conversely, a significant proportion of Andean highlanders develop chronic mountain sickness (CMS), characterised by excessive erythrocytosis and cardiometabolic dysregulation. I will combine genotype analysis, RNA sequencing, cardiopulmonary exercise testing, metabolic/lipidomic profiling and mitochondrial function analyses to study high-altitude Andeans with and without excessive erythrocytosis, in order to identify underlying differences in (mal)adaptive (patho)physiology. Applying methods developed by the partner host laboratory, I will examine pre-selected candidate gene variants along with skeletal muscle metabolic phenotype, probed through assessment of mitochondrial capacity for substrate metabolism. Metabolomic/lipidomic analysis of muscle and plasma alongside measures of whole-body exercise performance will demonstrate the impact of these functional changes in vivo. This multidisciplinary approach will explore the links between adaptive genetic polymorphisms and molecular/physiological processes affording protection against hypoxic stress. It has the potential to further our understanding of the individual metabolic responses to hypoxia by distinguishing healthy adaptive signals from disease-related signatures, and link genetic, metabolic and whole-body physiological function data in the context of CMS. It will provide a foundation for addressing fundamental questions concerning human evolution whilst improving our understanding of highly prevalent hypoxia-related conditions and the metabolic aetiology of these.

Keywords: high altitude hypoxia,human evolution,chronic mountain sickness,genotype phenotype,metabolic patho physiology,mitochondrial respiration,metabolomics,lipidomics,exercise performance
Miniaturized Matrixed Enthalpy Metter - Portable, affordable, easy to operate, diagnostic device enabling a rapid & accurate diagnosis of a patient infected by antibiotic-resistant bacteria (MMEM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-07-01
End date: 2021-06-30
Duration (months): 24.0
Total project cost (EUR): 3308056.0
EU funding (EUR): 2315639.0
Participants: 1
Project status: CLOSED

Miniaturized Matrixed Enthalpy-Meter (MMEM) - a diagnostic device for a rapid and accurate diagnosis of antibiotic resistant bacteria to be used in emergency rooms, clinical laboratories, doctor offices, and other point-of-care locations. GenoSmart, is developing a novel bio-electronic molecular detection system for detection the presence of a pathogenic DNA is a biologic sample obtained from a patient. In particularly the system allows immediate detection of Carbapenem-resistant bacteria which have developed a resistance to all kinds of known antibiotics. The technology is based on a pyroelectric sensor onto a suspected DNA sample is immobilized. The system utilizes heat release during hybridization of complementary DNA molecules. If a successful hybridization between the sensor and the suspected sample molecules occurs, enthalpy (the internal energy) is released in the form of a detectable heat. The sensor immediately detects this released heat and transduces it to an electric signal. Following this detection, the result is displayed to the operator, and a decision if to isolate the patient from other patients is made. In contrast to currently available molecular detection techniques, GenoSmart MMEM device fulfills the essential need for a rapid and accurate diagnosis tool, along with a cost-effective test and without any dependency on labs and complicated facilities.The ultimate objective is to make GenoSmart's MMEM ready for market launch in Europe. This entails a number of technical and strategic objectives, including the completion of the product’s CRE detection capability, the clinical validation through a European clinical study, and the exploitation of its results (IP expansion, commercial agreements with distributors etc.). The Company plans to start sales in 2020, first in Israel as a pilot market, and gradually reaching solid penetration rate 15% of the CRE diagnosis market within 7 years.

Keywords: bio electronic,antibiotic resistant bacteria,immediate detection