Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bio-inspired Spin-Torque Computing Architectures (bioSPINspired)

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
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-07-31
Duration (months): 71.0
Total project cost (EUR): 1907767.0
EU funding (EUR): 1907767.0
Participants: 1
Project status: CLOSED

In the bioSPINspired project, I propose to use my experience and skills in spintronics, non-linear dynamics and neuromorphic nanodevices to realize bio-inspired spin torque computing architectures. I will develop a bottom-up approach to build spintronic data processing systems that perform low power ‘cognitive’ tasks on-chip and could ultimately complement our traditional microprocessors. I will start by showing that spin torque nanodevices, which are multi-functional and tunable nonlinear dynamical nano-components, are capable of emulating both neurons and synapses. Then I will assemble these spin-torque nano-synapses and nano-neurons into modules that implement brain-inspired algorithms in hardware. The brain displays many features typical of non-linear dynamical networks, such as synchronization or chaotic behaviour. These observations have inspired a whole class of models that harness the power of complex non-linear dynamical networks for computing. Following such schemes, I will interconnect the spin torque nanodevices by electrical and magnetic interactions so that they can couple to each other, synchronize and display complex dynamics. Then I will demonstrate that when perturbed by external inputs, these spin torque networks can perform recognition tasks by converging to an attractor state, or use the separation properties at the edge of chaos to classify data. In the process, I will revisit these brain-inspired abstract models to adapt them to the constraints of hardware implementations. Finally I will investigate how the spin torque modules can be efficiently connected together with CMOS buffers to perform higher level computing tasks. The table-top prototypes, hardware-adapted computing models and large-scale simulations developed in bioSPINspired will lay the foundations of spin torque bio-inspired computing and open the path to the fabrication of fully integrated, ultra-dense and efficient CMOS/spin-torque nanodevice chips.

Keywords: spin torque,non linear dynamics,bio inspired computing
Efficient Composite parts manufacturing (EFFICOMP)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Belgium,France,Netherlands
Call: International cooperation in aeronautics with Japan (H2020-MG-2015_SingleStage-A, 2015)
Start date: 2016-04-01
End date: 2019-03-31
Duration (months): 36.0
Total project cost (EUR): 1759736.25
EU funding (EUR): 1759736.25
Participants: 6
Project status: CLOSED

The main objectives are to propose R&D activity to reduce cost and increase ramp up production of composite parts for structural application on aerospace products. These objectives are fully in line with objectives of the call MG1.8. European partners consortium is composed with end user (AIRBUS Group) and research laboratories (DLR, Stuttgart University, Delft University) and a dissemination expert partner (EASN). All selected partners have a strong experience with aerospace research activity. To fulfill the proposal objectives, the main technical topics that will be addressed are new low cost materials, new efficient heating concepts for composite curing, new forming process for large and thick parts, new low cost assembly processes, new environment around the mold (reusable bagging, reusable de-molding agent) and out of autoclave manufacturing concepts. Certification cost reduction for new issues such as sparking characterization during lightning strike impact will also be addressed. As one of the key points of this project is to propose new low cost concepts for composite part production, a specific workpackage will be dedicated to cost analysis of developed solutions and comparison with existing state of the art cost of composite parts. Most promising results will be integrated in a composite validation elements produced by the partners to give more credibility to the results. To get the maximum outputs from this project, the activity is distributed between different partners according to their expertise on the topic they will address. We have an important result exchange phase during the validation element definition and manufacturing activity. Globally for the developed technologies a TRL between 4 and 5 is foreseen at the end of EFFICOMP project.

Keywords: composite parts cost reduction,reducing composite parts manufacturing time,ramp up increase
Energy-efficient Heterogeneous COmputing at exaSCALE (ECOSCALE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Italy,Spain,Sweden,Greece,Greece,Greece,France,United Kingdom,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2019-07-31
Duration (months): 46.0
Total project cost (EUR): 4237397.5
EU funding (EUR): 4237397.5
Participants: 9
Project status: CLOSED

In order to reach exascale performance current HPC servers need to be improved. Simple scaling is not a feasible solution due to the increasing utility costs and power consumption limitations. Apart from improvements in implementation technology, what is needed is to refine the HPC application development as well as the architecture of the future HPC systems. ECOSCALE tackles this challenge by proposing a scalable programming environment and hardware architecture tailored to the characteristics and trends of current and future HPC applications, reducing significantly the data traffic as well as the energy consumption and delays. We first propose a novel heterogeneous energy-efficient hierarchical architecture and a hybrid MPI+OpenCL programming environment and runtime system. The proposed architecture, programming model and runtime system follows a hierarchical approach where the system is partitioned into multiple autonomous Workers (i.e. compute nodes). Workers are interconnected in a tree-like structure in order to form larger Partitioned Global Address Space (PGAS) partitions, which are further hierarchically interconnected via an MPI protocol. Secondly, to further increase the energy efficiency of the system as well as its resilience, the Workers will employ reconfigurable accelerators that can perform coherent memory accesses in the virtual address space utilizing an IOMMU. The ECOSCALE architecture will support shared partitioned reconfigurable resources accessed by any Worker in a PGAS partition, and, more importantly, automated hardware synthesis of these resources from an OpenCL-based programming model. We follow a co-design approach that spans a scalable HPC hardware platform, a middleware layer, a programming and a runtime environment as well as a high-level design environment for mapping applications onto the system. A proof of concept prototype and a simulator will be built in order to run two real-world HPC applications and several benchmarks.

Keywords: reconfigurable acceleration,runtime system,high level synthesis,opencl,hpc applications,partitioned global address space
“BDVB Oil Stick” – Key enabling technology for online monitoring of crucial electric grid infrastructure. Striving for global market leadership (BDVB Oil-Stick)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany,Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

The R&D Team of Passerro GmbH has developed the BDVB – Break Down Voltage - Basic Oil Stick. The BDVB Oil Stick, enables for the first-time online measurements of transformer oil dielectric breakdown strength. Using multi-frequency ultrasound spectroscopy, the Oil Stick determines simultaneously break down voltage (BDV), temperature (T) and oil humidity (Wc). Transformers are crucial infrastructure assets of Europe’s and the world’s power grids, which must be controlled and governed carefully. Today’s power supply with huge but fluctuant shares of renewable energy (solar, wind) seriously stresses transformers– leading to an increased degeneration of the transformer insulating oil and thus to a significant influence of performance and decrease of their life time. If the oil’s insulating capacity is down, transformers can’t resist higher voltages as well as the power load and often break down in fire after short circuit. A transformer loss results most often in tremendous damages: loss of production capacity, loss of power supply, loss of grid stability and supply security. The replacement time of power transformers lasts up to 80 weeks and is cost intensive. To date, no reliable online monitoring of the crucial oil parameters is available, and the transformers are operated merely in a manner of blind flying. Passerro developed the BDVB Oil Stick to TRL 6-7. Functionality has been successfully demonstrated, during long-time operation in transformers in Italy, Romania and Germany. The next step is the consequent commercialization and distribution of the device by efficient marketing and business development. The BDVB Oil Stick enables a groundbreaking transformer asset management system and allows the accurate utilization of the grid capacities. Moreover, it is a key enabling technology towards a smart grid.

Keywords: online monitoring,power transformer,smart grid
E-ClassicalMusic for everyone (BEATIK)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Spain
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Classical music accounts worldwide for more than 1,600 professional orchestras and over 70M music students (3.2M in EU). Global paper scores market is worth in the region of €3.100M worldwide (€380M in the EU), being orchestras, music students and musicians the main contributors to this figure. However, within the last years, trend shows that musicians and students have been increasingly using digital scores as alternatives to paper sheet music. RevInClassic has developed BEATIK, the first fully automated, play following, digital musical scores. Based on our already registered “Score Following” algorithm, BEATIK is an all-in-one application that allows professional musicians, music professors and students to have all their scores in a single device, giving them all the possibilities of traditional paper scores (i.e. make annotations) plus the advantage of not having to turn pages, exchange information in real time among musicians or receive comments of their performances. With our algorithm, we have already won 3 times the prestigious international competition MIREX. Aimed at Orchestras and music interpreters, BEATIK has two key features that make it stand up over paper and other digital score competitors: "Score Alignment" technology (internally reproduces classical music scores and compares them with the music that comes in through the microphone of the device) and Real time annotations exchange (BEATIK is the only product that is able to exchange information in real time).

Keywords: e score,digital musical score,score alignment,classical music,social network,cultural heritage,orchestra
Contentotopic mapping: the topographical organization of object knowledge in the brain (ContentMAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Portugal
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2025-01-31
Duration (months): 72.0
Total project cost (EUR): 1816004.0
EU funding (EUR): 1816004.0
Participants: 1
Project status: SIGNED

Our ability to recognize an object amongst many others is one of the most important features of the human mind. However, object recognition requires tremendous computational effort, as we need to solve a complex and recursive environment with ease and proficiency. This challenging feat is dependent on the implementation of an effective organization of knowledge in the brain. In ContentMAP I will put forth a novel understanding of how object knowledge is organized in the brain, by proposing that this knowledge is topographically laid out in the cortical surface according to object-related dimensions that code for different types of representational content – I will call this contentotopic mapping. To study this fine-grain topography, I will use a combination of fMRI, behavioral, and neuromodulation approaches. I will first obtain patterns of neural and cognitive similarity between objects, and from these extract object-related dimensions using a dimensionality reduction technique. I will then parametrically manipulate these dimensions with an innovative use of a visual field mapping technique, and test how functional selectivity changes across the cortical surface according to an object’s score on a target dimension. Moreover, I will test the tuning function of these contentotopic maps. Finally, to mirror the complexity of implementing a high-dimensional manifold onto a 2D cortical sheet, I will aggregate the topographies for the different dimensions into a composite map, and develop an encoding model to predict neural signatures for each object. To sum up, ContentMAP will have a dramatic impact in the cognitive sciences by describing how the stuff of concepts is represented in the brain, and providing a complete description of how fine-grain representations and functional selectivity within high-level complex processes are topographically implemented.

Keywords: object recognition,fine grain representation,topography,representational similarity analysis,multidimensional scaling,population receptive field estimation,self organizing algorithms
Increasing yield on Tungsten and Tantalum ore production by means of advanced and flexible control on crushing, milling and separation process (OptimOre)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Spain,Sweden,United Kingdom,United Kingdom
Call: Flexible processing technologies (H2020-SC5-2014-one-stage, 2014)
Start date: 2014-12-01
End date: 2018-02-28
Duration (months): 39.0
Total project cost (EUR): 5084468.75
EU funding (EUR): 5084468.75
Participants: 8
Project status: CLOSED

Modern economy is highly dependent on specific raw materials, and it is envisaged that this dependency will increase in the near future. Most of them are scarce in EU and of poor purity, being mixed within complex and low grade aggregates which need to be processed by means of a separation process consuming high quantities of energy and water, and even in some cases this makes its exploitation unfeasible due to production costs. Being EU dependent on some of these materials, as identified by EIP initiative, our society is demanding more efficient extracting processes to contribute to major European independency on these Critical Raw Materials. Tungsten and Tantalum ores are two recognized CRMs: In a market currently dominated by China and Russia production (among others), in Europe Tungsten (limited) production is mostly concentrate into UK, Spain and Portugal . On the other side, Tantalum is a key element on electronics with clear EU external production dependency, as it is naturally really scarce in Europe (only 1% of world production is concentrated in EU). Knowing this situation, OptimOre Project proposes the research and development of modelling and control technologies, using advanced sensing and advanced industrial control by means of artificial intelligence techniques, for the more efficient and flexible Tantalum and Tungsten ores processing from crushing to separation process, with the participation of relevant international players in the mining field on research (Chalmers University- Dr. Magnus Evertsson, Exeter University with Dr. Richard Pascoe, Freiburg University with Dr. Holberg Lieberwirth, among others). The project proposes a 3 years collaboration among 8 partners of 4 different countries.

Keywords: tantalum,tungsten,crushing,milling,separation,model,control
BUSINESS MODELS FOR ENHANCING FUNDING AND ENABLING FINANCING OF INFRASTRUCTURE IN TRANSPORT (BENEFIT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Germany,Spain,Italy,Serbia,Belgium,Finland,Poland,Greece,France,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Analysis of funding schemes for transport infrastructure (H2020-MG-2014_SingleStage_A, 2014)
Start date: 2014-12-01
End date: 2016-09-30
Duration (months): 22.0
Total project cost (EUR): 1671461.25
EU funding (EUR): 1671461.25
Participants: 14
Project status: CLOSED

BENEFIT takes an innovative approach by analysing funding schemes within an inter-related system. Funding schemes are successful (or not) depending on the Business Model that generates them. The performance of the Business Model is affected by the implementation context and the transport mode. It is matched successfully (or not) by a financing scheme. Relations between actors are described by a governance model (contracting arrangements). These are key elements in Transport Infrastructure Provision, Operation and Maintenance. Success is a measure of the appropriate matching of elements. Within BENEFIT funding and financing schemes are analysed in this respect. Describing these key elements through their characteristics and attributes and clustering each of them is the basis of, first, developing a generic framework. This allows for the transferability of findings with respect to “lessons learned”, “limitations” and “the impact of the financial and economic crisis”. Identifying best matches in their inter-relations and where to intervene, leads to move from a generic framework to a powerful decision policy tool, which can assess funding schemes for investments in modern infrastructure with smart pricing and funding in view of 2050 challenges and needs. The BENEFIT partnership takes stock of over twenty years of EC funded, national and international research. It receives direct input (evidence study cases) from the OMEGA Centre and COST Action TU1001. It is set-up to share and exchange knowledge and debate. Its high level international advisory group and its consultation group demonstrate its ability to reach out to all stakeholders to share its innovative approach. Namely: 1)Transport infrastructure business models and their project rating by which further value propositions may be included to lead to funding schemes with enhanced creditworthiness enabling viable financing 2)Transferability 3)Open-access case study database serving both practitioners and researchers

Keywords: transport infrastructure,business models
Launching the next generation of mobile and multi-platform signature system based on biometric parameters (SignSigma)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2014-09-01
End date: 2014-11-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The SignSigma technology, developed by the SME Sigma Technologies, allows verifying the identity of a person from the dynamic parameters of their biometric signature with an extremely very low error ratio for first time merely using a common tablet or smartphone. The technology is not based on the image of the signature but on its dynamic biometric parameters (pressure, velocity, acceleration, etc.). This technology has been recognised as the best technology in the First International Signature Verification Competition. Smartphones, tablets and the growing access to mobility will accelerate identification needs, and ease its introduction through various applications like banking, the health sector, insurance, digital preservation, control access, etc. The range of applications is huge, as this disruptive technology creates new markets as it will permit to be identified at anytime, and anywhere. We are almost done developing technology and we need the SME Instrument in order (i) to finalise the extensive trials we are undertaking on the different platforms (smartphones, tablets), (ii) to select and prioritize the most adequate application/s, (iii) to implement the final applications and integrate them with the specific enterprise content management systems, (iv) to undertake an intensive pilot tests of the product and the technology and (v) to assess the security of the whole system. In Phase 1, our specific objective is to prepare a clear Feasibility Study and Business Plan on how to reach and exploit this extraordinary technology properly in different scenarios, which might imply different business models, and different market strategies. It is expected that a new European directive will be issued authorizing and giving much more legal power to biometric signatures as in the US. This technology will permit to reduce paperwork, reduce costs, save time in operations, and decrease fraud by bio-identity, consequently having a significant impact on the economy.

Keywords: digital signature,biometric parameters,biometric identification,signature recognition,biometric identity,touchable device,touchable screen,pattern matching,feature extraction