Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
UbiqutekGlide: An advanced electrical weed control device to be integrated with existing agricultural equipment, yielding a zero chemical, organic result at a reduced operational cost (UbiqutekGlide)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: United Kingdom
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-11-01
End date: 2019-04-30
Duration (months): 30.0
Total project cost (EUR): 1865045.25
EU funding (EUR): 1305531.68
Participants: 1
Project status: CLOSED

Reduce herbicide usage. Ubiqutek, a UK-based SME built on over 45 years of research presents ‘Glide’ a cost-effective, safe to use and environmentally friendly electrical agricultural weed control solution to be integrated to existing manufacturer’s agricultural platforms. Benefiting the agricultural market, Glide successfully controls weeds, whilst reducing operational costs and the industries use of herbicides and replacing with an organic process that maintains soil moisture and nutrients and increases crop yield. Having already developed ‘Touch', a horticultural and amenity electronic weed control device that has been well received by the market, we are well placed to adapt our core technology for the agricultural market. During our Phase 1 feasibility study, we have undertaken significant research to prove commercial and technical feasibility including voice of customer and business planning, and are now embarking on our Phase 2 journey. We have an ambitious growth target to achieve revenue of €37.5m pa by 2023, cumulative net profit of €49.6m, and creating direct employment of 14 FTE. We project the ROI to the EC at 4.8 with breakeven at year 4 post-commercialisation. Weeds are controlled largely for food production due to their economic significance: the biotic stresses caused by weeds, insects and diseases cause a 31–42% loss in annual food production globally (€454bn). Herbicides account for over a third of the pesticides used in Europe; without herbicides, it is predicted food prices would increase by 40% With herbicides being legislated against due concerns over their health effects, and given increasing global food requirements, alternative weed control technology is essential in the prevention of unsustainable food inflation. This Horizon 2020 Phase 2 project will allow us to scale up our existing prototype and gain independent and extensive trial results of the Glide technology enabling us to launch to market with the necessary evidence of efficacy

Keywords: electrical weed control,agriculture,arable,organic,automated,zero chemical
Discovering New Dual and Triple Atom Catalysts (DETECT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The central goal of DETECT is to discover and establish new fundamental insight into the catalytic activity of duel and triple atom catalysts. Many chemical reactions – several related to securing a wider penetration of renewable energy – are not viable today due to a number of limitations of traditional catalysts including unfavorable scaling relations of intermediates, lack of selectivity, and cost and availability of precious metals. Employing catalysts consisting of only two or three atoms offers a possible route to circumvent these limitations, while also lifting the constraints of current single atom catalysts and opening the possibility of catalyzing more complex reactions that may require more than a single atom to proceed. This proposal will target electrochemical hydrogen peroxide formation, CO2 reduction to fuels and chemicals, and ammonia synthesis. The dual and triple atom catalysts will be developed in an interactive feedback loop involving computation, synthesis, characterization and activity testing. The dual and triple atom catalysts will be created using a cluster source with time-of-flight based mass filter, which enables even synthesis of dual and triple atoms catalyst with more than one elements - something that are virtually unexplored for catalysis. Further, this synthesis method will produce well-defined catalysts that can be characterized on the atomic level, which is essential for comparing with computational predictions in the feedback loop. DETECT could open for more energy efficient and more selective catalysts that could facilitate a number of ‘Dream Reactions’ for which we have no viable catalyst today. Not least in the field of transforming our current fossil fuel based society, new catalysts are desperately needed to ensure a greater penetration of sustainable energy.

Keywords: dual atom catalysts,triple atom catalysts,dimer,trimer,catalysis,heterogeneous catalysis,electrocatalysis,surface science,energy conversion,sustainable energy,hydrogenperoxide,co2 reduction,ammonia
Propagating DNA Modifications Across the Cell Cycle (DNAmod_PROPAGATION)

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: Life Sciences
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2021-03-02
Duration (months): 24.0
Total project cost (EUR): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

Background DNA hydroxymethylation and methylation are marks on DNA that help define cell identity and maintain genome stability. DNA hydroxymethylation is recently discovered, and the mechanisms underlying its maintenance are uncharacterised. DNA methylation is crucial for cell function, but large blocks of DNA lose methylation in cancerous and ageing cells. It has been speculated that this is due to aberrant maintenance during cell division, however, technical limitations have prevented this from being directly assessed. By developing a novel technology to study maintenance of these marks, I will test this hypothesis for the first time. Approach This new technology will track how DNA methylation and hydroxymethylation patterns are restored after DNA replication, using both mass-spectrometry and genomics. Using this, I will track restoration of these marks following DNA replication, and test whether DNA methylation loss is caused by cell cycle speed, depleted methionine levels late in replication, or a combination of both. This will be followed up by functional analyses of key maintenance DNA hydroxymethylation and methylation factors. Thus, this work combines my past experience in DNA methylation with the host lab’s expertise in chromatin dynamics during DNA replication. Impact This will be the first quantitative study of how patterns of DNA methylation and DNA hydroxymethylation are propagated between cell divisions, which is essential to their roles in defining and maintaining cell identity. The results will bring seminal and novel understanding of these marks from both basic and biomedical perspectives, by elucidating how epigenome maintenance is linked to both DNA replication and the epigenetic changes seen in disease. By dissecting in unprecedented resolution the mechanisms underlying propagation of DNA methylation and hydroxymethylation, this work will unveil the basis for epigenetic inheritance of these marks between cell generations.

Keywords: dna methylation,dna hydroxymethylation,mass spectrometry,genomics,dna replication,epigenetic memory
Automated Urban Parking and Driving (UP-Drive)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Germany,Switzerland,Romania,Czechia
Call: Robotics (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 7604893.75
EU funding (EUR): 4671896.25
Participants: 6
Project status: CLOSED

Automation of individual transport systems is considered an up-and-coming prospect with the potential of greatly mitigating many of the challenges associated with intensified urbanization, while at the same time offering additional benefits for the citizens and drastically increasing overall street safety. However, due to the lack of maturity of involved key technologies and persisting legal limitations, full automation of on-road driving remains a longer-term vision, particularly in urban environments. The goal and ambition of UP-Drive is to address these technological challenges through the development of an automated valet parking service for city environments, aimed at relieving a car driver from the burden of finding a parking space in city centers. Instead, the fully automated car navigates on its own through urban neighborhoods, finds a parking space and returns on-demand. Creating such a system requires mastering all key technologies essential to automated urban driving beyond the current state-of-the-art: complete round-view perception of the vehicle environment, robust lifelong localization and mapping, sophisticated understanding of complex scenes as well as aggregation and integration of long-term semantic data over a cloud-based infrastructure. With this, we ensure that the research and development carried out in this project will directly be applicable to other urban driving use-cases such as driver assistance and safety systems on the one hand, and on the other hand to the transportation for elderly and citizens with handicaps, last-mile delivery of goods - and ultimately fully automated urban driving in general. The consortium will continuously integrate the research and development from all partners into a fully functional vehicle platform and will showcase the end-product in its full extent to the general public.

Keywords: intelligent transportation systems automated parking,data acquisition,autonomous vehicles,local perception and localization,decision making and navigation,life long mapping,scene understanding
Customer-driven design of product-services and production networks to adapt to regional market requirements (ProRegio)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Italy,Germany,Germany,Italy,Germany,Greece,Türkiye,Greece,France,France
Call: Innovative Product-Service design using manufacturing intelligence (H2020-FoF-2014, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 5151088.45
EU funding (EUR): 5145321.25
Participants: 12
Project status: CLOSED

The ProRegio project aims at developing a manufacturing intelligence based product-service that will rigorously change the current way how customer requirements are addressed by manufacturing companies. The development of this new business approach is based on three major issues, namely (i) design of customer oriented product-services for frugal innovation in a bottom-up development process, (ii) optimization of production systems and networks based on interaction of stakeholders, and (iii) planning and control of production networks and regional production systems to enable ad-hoc re-design. The three goals are enabled by innovative cloud-based product lifecycle management (PLM) solutions integrating production (shop-floor and supplier) as well as customer feedbacks using open IT-platforms and advanced multi-objective optimization methods in comprehensive decision support tools. The application of the proposed methodology in any kind of globally engaging manufacturing company exploits potentials to shorten time-to-market of customized products as well as throughput times in globally distributed production tasks and reduce carbon footprint of global production networks. The integration of the proposed innovative product-service into production networks will increase the attractiveness of European companies by offering new added value services that make their products more attractive (e.g. more individualized products and shorter time to market) to different customers segments especially for emerging regions by offering new frugal products earning a share of sales and by increasing customer satisfaction in terms of providing more power to the customer. In general, ProRegio enables EU companies to export into emerging countries all around the world; in doing so the project will help to stabilize EU’s export growth above 5% until 2020.

Keywords: product service design,manufacturing intelligence,frugal innovation,augmented reality,mass customization,production network design,virtual factory,production system design
Plugin-free easy-to-use software for high-speed virtual reality in e-commerce (SPEEDY-3D)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-08-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Haptic MEDIA is a French company created in 2013, formed by a team of experts with 15 years of experience in graphic design, 3D development and business development. The innovation of Speedy-3D we present here is a cutting-edge technology, the most powerful 3D software with ultra-realistic rendering to improve the e-commerce experience and lead e-commerce market to the new 4.0 Industry. Current integration of 3D-models in e-commerce is very limited due to high upload times, which for Ultra-high resolution customizable e-products exceeds 3 seconds, the average time that 82% of e-buyers do wait before bouncing away. Speedy-3D is a software multichannel, accessible via SaaS to automatically create and visualize e-commerce products through fully customizable 3D objects and augmented reality. The software works without plugins, and this disrupting feature reduces upload time to just two seconds. This unparalleled ergonomics allows to quickly and easily upload and manage a huge amount of objects, customize each product to the most detailed features (up to 1026 possibilities per object shown), and to add rules to create objects. Thus, our innovative concept is to provide end-user companies our easy-to-use “virtual studio” to be managed by non IT-experts. The software also integrates artificial intelligence and machine learning tools for online-market intelligence. Speedy-3D will improve a 20% conversion rate and reduction in the return rate of e-retailers. We are currently commercialising full product display and customization services provided by a functional prototype of Speedy-3D software to 12 renowned European companies. Haptic-MEDIA with its innovation Speed-3D, forecasts €13.9 million cumulative revenues for the period of 2020-2022 (profitability ratio of 42%), while increasing staff by 32 people.

Keywords: e commerce,e shooping,virtual reallity,augmented reallity,3d objects,3d modelling,ultra high resolution,product visualization,product customization,upolad time,no plugigs,market intellig
Redox-Controlled Resistive Switching in Hybrid Metal-Organic Thin Films towards Neuromorphic Computing (RESWITCH)

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: Chemistry
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: CLOSED

Cognitive computing has brought about the possibility of computer programs with ability to learn by recognizing patterns in data and to make predictions on the learned dependencies by mimicking the operation of the human brain. However, their energy efficiency is still orders of magnitude below the biological counterpart as the current linear Boolean logic is ill-suited for the simulation of the huge arrays of interconnected neurons. Neuromorphic computing aims to greatly improve the efficiency by emulating the synaptic functionality and interconnectivity on the hardware level. In biological neural networks, communication between neurons is facilitated by synapses that modulate the signal through changes in the synaptic weight. The time-variability of these operations is thought to allow the single node to both process and store information RESWITCH seeks to emulate this synaptic plasticity by exploiting the coupled ionic/electronic transport in redox-active hybrid metal-organic coordination polymer thin films. As in fully organic conjugated polymers, the electronic conductivity can be modulated electrochemically with dynamic operation arising from the concurrent counter-ion motion. The interplay of the metal and organic constituents allows for precise control of the electric/electrochemical properties, but poor processability limits their applicability for nanotechnology applications. In RESWITCH, a new thin film -based approach is implemented with Molecular Layer Deposition (MLD). A library of MLD processes for high-quality, ultra-thin films of redox-active and electrically conductive materials will be established. The thin film approach allows for detailed exploration on the contribution of the metal and organic components to the redox-properties and conductivity. The ultimate target is to implement the thin films in a novel bilayer thin film device in which the conductance can be controlled dynamically with electrochemical doping of the adjacent layers.

Keywords: atomic layer deposition,molecular layer deposition,coordination polymers,molecular electronics,resistive switching,neuromorphic computing
Rigorous Search Space Reduction (ReduceSearch)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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 Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1473020.0
EU funding (EUR): 1473020.0
Participants: 1
Project status: SIGNED

In our world of big data and theoretically intractable problems, automated preprocessing to simplify problem formulations before solving them algorithmically is growing ever more important. Suitable preprocessing has the potential to reduce computation times from days to seconds. In the last 15 years, a framework for rigorously studying the power and limitations of efficient preprocessing has been developed. The resulting theory of kernelization is full of deep theorems, but it has overshot its goal: it does not explain the empirical success of preprocessing algorithms, and most questions it poses do not lead to the identification of preprocessing techniques that are useful in practice. This crucial flaw stems from the fact that the theoretical kernelization framework does not address the main experimentally observed cause of algorithmic speed-ups: a reduction in the search space of the subsequently applied problem-solving algorithm. REDUCESEARCH will re-shape the theory of effective preprocessing with a focus on search-space reduction. The goal is to develop a toolkit of algorithmic preprocessing techniques that reduce the search space, along with rigorous mathematical guarantees on the amount of search-space reduction that is achieved in terms of quantifiable properties of the input. The three main algorithmic strategies are: (1) reducing the size of the solution that the solver has to find, by already identifying parts of the solution during the preprocessing phase; (2) splitting the search space into parts with limited interaction, which can be solved independently; and (3) identifying redundant constraints and variables in a problem formulation, which can be eliminated without changing the answer. This will raise the scientific study of preprocessing to the next level. Since physical limits form a barrier to further speeding up computer hardware, future advances in computing power rely on algorithmic breakthroughs as envisioned here.

Keywords: acm ccs theory of computation parameterized complexity and exact algorithms theory of computation graph algorithms analysis theory of computation algorithm design techniques