Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Harnessing the power of high altitude winds - the biggest energy resource yet unexploited by humankind (Skypull)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Switzerland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Wind is our second largest energy source after solar. The conservative estimates state that wind could provide us with 1,800 TW of energy—100X more than the current global demand for power. But most of this wind is at high altitudes, and is available almost anywhere on the planet 24 hours per day, 7 days per week. The conventional wind turbines, although having improved immensely over the past decade, have hit a technological plateau: they cannot be made much taller to reach the strong, fast winds that blow at altitudes of 400+ meters. To address this challenge, we developed Skypull—a system made of an autonomous flying device (drone) connected by a tether to a ground power generator—which generates low cost electricity from abundant high altitude winds. Uniquely among the competition, we created and patented the highly efficient design of the flying device. We foresee incremental development over several variants to reach a 1 MW Skypull SP3 system by 2021, capable of generating electricity at €40-50/MWh. With that device in place we will grow the revenues from €2m in 2020 (3 units sold in Switzerland) to €140.3m in 2030 (200 units sold globally), with an IRR of 24%+. We will work closely with the Swiss energy utility AEM SA, that abandoned its plans on implementation of wind turbines and decided to explore the potential of Skypull. We have also built a broad partner network to build Skypull. The purpose of this Phase 1 project is to carry out the market and commercial feasibility for a reduced Skypull SP2 10-100 KW demonstrator, so that it could be sold in the off-grid contexts, generating first cash flows for the company to co-finance further development of a 1 MW variant.

Keywords: wind energy,high altitude,drone
Unraveling the complexity of fungal drug tolerance at multiple scales of biology (FungalTolerance)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,Israel,France
Call: ERC Synergy Grant (ERC-2020-SyG, 2020)
Start date: 2021-03-01
End date: 2027-02-28
Duration (months): 72.0
Total project cost (EUR): 9690918.0
EU funding (EUR): 9690918.0
Participants: 3
Project status: SIGNED

Mortality from invasive fungal infections approaches 50%, despite the use of available antifungal drugs. While bacterial studies have focused on drug resistance, the rare appearance of antifungal drug resistance does not explain these treatment failures. Antifungal tolerance is a poorly understood property that is expressed to different degrees in different non-resistant isolates, yet has not been measured routinely in the clinic or in most research studies. We do not know how tolerance differs between isolates, what biological mechanisms drive it, how it affects only some cells in a single isolate, or whether it can be inhibited to improve treatment outcomes. Recently, the Berman lab found that tolerance is an intrinsic property, in which some cells of a non-resistant isolate continue growing in the presence of the drug that has the potential to explain antifungal treatment failures. In parallel, the Ralser lab found that inhibitors of metabolic pathways affect the stress survival of some cells and the Berman lab found that these inhibitors can clear tolerance and convert an antifungal drug from fungistatic to fungicidal, thereby killing the cells and halting their adaptation. Together, we combine expertise in pathogenic fungi (Berman) and metabolic systems (Ralser) to reach fundamental understandings of tolerance across the range of its biological scales by: 1) capturing the diversity of tolerance in a genomic and proteomic data resource of >1000 isolates; 2) identifying metabolic pathways and molecular mechanisms that drive tolerance within isolates; and 3) probing processes and compounds that affect phenotypic heterogeneity between cells and suppress tolerance. By elucidating the mechanisms that drive tolerance and fungal single-cell diversity, we propose to render tolerance targetable, providing a paradigm shift in anti-fungal treatment strategies.

Keywords: phenotypic heterogeneity,metabolic communities,stress tolerance,integrated biomolecular responses
Intelligent Scene Sensing and Analysis in Underwater Environments (iSEAu)

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: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-12-30
Duration (months): 24.0
Total project cost (EUR): 165085.44
EU funding (EUR): 165085.44
Participants: 1
Project status: SIGNED

Reliable and detailed underwater scene sensing, and analysis has a fundamental role in numerous underwater activities drawing both scientific and economic interest. Computer vision and remote sensing have evolved impressively in the last decade, propelled also by advancements in deep learning, enabling unprecedented levels of robust and automatic information extraction from visual data. At the same time, there is increasing interest in visual based underwater sensing, however, deep learning methods are less explored in this domain. On the other hand, sensing modalities based on Single Photon Cameras (SPCs) and transient imaging are gradually maturing, having certain characteristics that allow sensing in challenging visibility conditions, as the ones of underwater environments. iSEAu aims to significantly advance the state-of-the-art of underwater scene sensing by bridging the gap in the use of data-driven methods in underwater perception, and by combining the respective advantages of SPCs, multispectral and conventional cameras. Investing on intensive knowledge transfer, the goal is to bring together the fields of computer vision, machine learning and remote sensing for optimally addressing the underwater visual sensing challenges. The project objectives address these challenges in two levels. The first concerns the development of methods for “removing the water” from underwater images by harnessing the power of learning-based methods, and the development of methods based on SPC transient imaging for perception in challenging visibility conditions. The second level concerns the adaptation and enhancement to the underwater domain of state-of-the-art methods for image-based extraction of structural and semantic information, and their field-testing considering representative application scenarios. In summary, iSEAu will provide novel data-driven methodologies and technological solutions to researchers, scientists and users for underwater sensing of unmatched fidelity.

Keywords: computer vision,deep learning,remote sensing,underwater imaging,colour reconstruction,spectral imaging,single photon cameras,signal processing
High Tech and Disruptive Prices Global Solution for Real Time Alerts on Agrifood Pest, based on wing beat, unique features on insects biometric (AgroPestAlert)

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: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

33% of the total of all pesticides used in the agricultural sector are for control of pest insects. >99 % of the agricultural area cultivated use manual pest warning systems. Current technologies for tackling this problem are intensive concerning human labour, have complex logistics, are very costly and have low efficiency levels. They have not been able to reduce damage to crops below a 20-40% range. The “holy grail” of the market is a technology and solution that allows an integrated management of pests, with a real-time early warning system, sufficiently effective and at a viable cost, that can be scaled to different types of crops and pests, and that would later enable a fast and focused treatment solution. Overall expenditure on pesticide management is up to 2% of the value of agricultural production. The value of the potential market for early warning solutions against pests is estimated 0.5% of the value of the annual global agricultural production, >€14 billion in 2016. AgroPestAlert is a globally innovative, specific and unique solution in its category that enables the automation and digitization of the tasks necessary for early pest surveillance at a disruptive cost, for the first time allowing the market to address the need for early warning of pests in real-time in a viable and effective way. Its technological differential is based on the use of a biometrical “wing beat” element relating to the insects, which allows a reduction of 50% the installation cost (vs systems based on high resolution photos) and the Operation and Maintenance costs (O&M) are reduced by >95%.It also uses a layer of nano components for pheromones that makes it possible to extend its effectiveness and efficiency. AgroPestAlert is focused on 3 segments: Large agricultural farms, Downstream agro-industrial companies; Early warning official stations. The objective of this phase 1 is to complete a feasibility study to find out the workability and profitability of the business venture

Keywords: louis holder high tech disruptive price global solution early alerts on agrifood pests frequency wing beat unique features insect biometrics nano pheromones smart trap official stations farmers orizon
Secondment for the development of Research Innovation in Biomaterial Rapid Prototyping (Second. R.I.)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Italy,China,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 265500.0
EU funding (EUR): 247500.0
Participants: 5
Project status: CLOSED

Secondment for the development of Research & Innovation in Biomaterial Rapid Prototyping (SECOND.R.I.) exchange programme aims to establish and support inter-sectorial and international sharing of knowledge and enable new professional skills for researchers and managerial staff enhancing potential innovation of the S&T research in rapid prototyping and biomaterials for bone tissue engineering. In order to achieve these objectives SECOND.R.I exploits the complementary competences of an inter-sectorial Sino-European consortium. The project undertakes collaborative research and innovation activities on new biomaterials for rapid prototyping for application in bone tissue engineering. Using rapid prototyping (RP) technologies a tailor-made and functional scaffold based on natural polymer and calcium phosphate will be developed and tested in an industrial environment. Running parallel with this research programme, an innovation management work-package explores the best solutions to exploit the research results (e.g. through the analysis of different innovation systems) thanks to the involvement of two technology transfer centres and one SME. In particular international technology transfer and intellectual property protection, absorptive capacity and technology innovation networks, human resource management, and how the interplay of these factors influences technological innovation in Chinese and European enterprises, as well as the associated impacts on EU policies and enterprises in the biomaterials sector will be investigated. This unique initiative has its strength in the composition of its consortium which is global and multidisciplinary hence is expected to accelerate scientific and business progress in the strategic field of bone tissue engineering and to foster strong scientific cooperation between China and Europe.

Keywords: innovation,biomaterials,3d printing,rapid prototyping tissue engineering,bones repair,technolgy transfer
Global Climate change impact on phenOtype and ePigenomE stability: Accessing plant adaptability through a 2050 simulation model (COPE-50)

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: Germany,Czechia
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 160300.8
EU funding (EUR): 160300.8
Participants: 2
Project status: CLOSED

One of the key challenges in the 21st century will be food security. Computer modelling using historical data predicts a climate shift towards combination of increasing temperature, rising carbon dioxide (CO2) levels and high Ultraviolet (UV) radiation. Such climatic change could negatively affect productivity of the agricultural systems and thus availability of food for the growing world’s population, which is a very serious concern. However, most of the current debate is based on little experimental evidence. Therefore, we aim to address this question by establishing a strong backbone of phenotypic and molecular data in the frame of the proposed project. Our first objective will be to examine the impact of the predicted 2050 climate on the morphological and physiological performance of the model and the crop plants. Adaptation of plants to environmental cues occurs also at the gene transcriptional level and is widely controlled by epigenetic means. Therefore, in the second objective we will study plant chromatin changes in response to predicted climatic change and their effects on plant phenotypes. Our study will act as a resource to framework the phenotypic and molecular mechanism by which these environmental variations affect crop yields and current estimates of future impacts of climate. Hence, the longer term goal of the project is to contribute towards solving the current food security issues by providing valuable resource of data for scientists along with the strategy makers.

Keywords: climate change,phenotype,epigenetics,crop improvement
Reconstructing atmospheric oxidation processes in the past with clumped isotope measurements in O2 trapped in polar firn and ice air (Clumped Isotopes)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-25
End date: 2019-09-24
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Air trapped in polar ice cores provides a unique archive of atmospheric composition in the past. However, reactive gases are not stable in ice core air, and therefore no paleo-proxies exist that allow reconstructing the oxidation capacity of the past atmosphere from ice cores. Recent study shows that isotope exchange between highly reactive oxygen atoms (O(3P)) and relatively non-reactive O2 in the atmosphere imprints an isotope signal in the “clumped” isotopic composition of atmospheric O2, which can be a tracer for the abundance of O(3P) in the troposphere. Clumped isotopes are isotopologues containing more than one heavy isotope (e.g., 18O18O), and they are now detectable at high precision using modern technology. I propose here to develop these novel clumped isotope measurements on O2 into a tool to reconstruct the oxidative capacity in the past atmosphere from O2 trapped in firn and ice core air. I will first verify the hypothesis that the large clumped isotope signal originates from fast O(3P)+O2 exchange at low temperatures in the stratosphere, and that this signal is only partially erased by further exchange in the troposphere, where much lower O(3P) and higher temperatures prevail. Clumped isotope analyses on O2 trapped in ice cores will then be used to decipher past variations in atmospheric oxidation processes with a temporal resolution of decades to millennia. I am particularly interested in determining the effects of both natural (glacial-interglacial) climate variability and anthropogenic climate change associated with fossil fuel combustion on oxidation processes in the atmosphere. My experience in the field of clumped isotopes fits perfectly to the expertise of the host group in atmospheric research using isotopes, and the project will make use of the new world-leading high precision isotope ratio mass spectrometer MAT 253 ULTRA facility that will enable measurement of all 6 isotopologues of O2, including the rarest one, 17O17O, for the first time.

Keywords: oxidation chemistry,clumped isotopes,mat 253ultra,ice core,aircore
RISC-V Digital Architecture for the Next Generation of Connected Era (Codasip)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany,Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2020-01-01
End date: 2021-06-30
Duration (months): 18.0
Total project cost (EUR): 9470000.0
EU funding (EUR): 2499999.0
Participants: 2
Project status: CLOSED

At the core of every electronic device, enabling a product to be connected to the Internet, is an embedded processor. IoT, AI, 5G, data encryption/decryption etc., they all rely on power-efficient, secure, and economical embedded processors to carry out their important on-chip functions. These technologies are changing everything about semiconductor industry. The speed is not what matters the most anymore. Energy consumption, durability, miniaturization and configurability are greatly important as these chips are being put into multitude of industries & plethora of applications. General-purpose chips just would not do it – they could handle each of tasks; however, they would be large and power inefficient. Thus the demand for custom chips keeps rising. The industry players will compete based on the best chip for specific purpose - what data capture & communications services their chips enable, at what cost. For companies failing to differentiate their products because they are using the same IP building blocks as their competitors and those with margins squeezed by legacy providers, Codasip offers a compelling value proposition: a processor IP with very high performance, very low power consumption, fully tailorable so that it can be made uniquely for each customer and application domain for convenient price. We created a broad portfolio of licensable RISC-V processors IP consisting of several RISC-V derivatives for a broad range of application requirements, from very small-footprint and low-gate-count cores, to high-performance, high-frequency cores with advanced DSP capabilities, suiting from wireless sensors to 5G and AI chips. We are the experts in processor design, holding the leading position in RISC-V processor IP. Key to our success are highly skilled people developing our solution, understanding emerging technologies and making us compete with the best of the best. Our commercial teams make us reach global markets, with customers as far as Japan or US.

Keywords: internet of things,artificial intelligence,electronic design application,communication,microprocessors,semiconductor ip,risc v,high performance computing
Improving jet fuel efficiency through automated, high-precision and performance of engine manufacturing (AERO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The aviation sector is a truly global economic force in Europe, contributing with 2.1% of its GDP and 5 million jobs, and it is expected to continue to grow by a further 45% by 2035. However, it is also a great polluter, as fuel burned releases GHG emissions into the atmosphere. To limit it, global and European bodies are enforcing obligations for aircraft OEMs to meet emissions limits by 2023, expected to be achieved by reducing the fuel consumption through more efficient engines and lighter materials. To accomplish this, the aerospace industry currently uses the Investment Casting process to manufacture some complex components of jet engines components. Whilst this process represents the current industry standard, it comes with limitations that is reducing the potential for enhancing aerodynamics and using lighter materials, key to increase engine’s fuel efficiency. At TPC we are developing the new standard, the Investment Vacuum Process, that will allow to use lighter materials, simplify the manufacturing process whilst reducing costs and reduce time from development to market. This industry is highly specialised and historically 90% of the European market is dominated by 3 non-European foundries (2 Americans and 1 British). At TPC we not only aim to introduce the new industry standard to allow aircraft manufacturing companies meet the new regulations, but also to introduce competition into this highly dominated market, reducing dependency and increasing competitiveness in the EU. TPC is the leading foundry in Sweden. AERO project aims 1) to raise TPC´s capability to a comparable level with the current state of the art technology level of the “Big 3” and 2) to put TPC into a leading position as a VIC foundry in Europe. We are already supported by the industry as have been collaborating in development for over 5 years with OEMs Safran and GKN. We expect to reach €27M cumulative revenues by 2022 and grow our company to over 100 employees.

Keywords: aircraft,jet engine,investment casting,fuel efficiency