Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Neural Gradient Evaluation through Nanodevice Dynamics (Grenadyn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2462587.0
EU funding (EUR): 2462587.0
Participants: 1
Project status: SIGNED

The Grenadyn project will demonstrate that assemblies of imperfect, dynamical nanodevices can self-learn through physical principles, like biological neurons and synapses do, with performance comparable to the best artificial intelligence (AI) algorithms. For this, Grenadyn’s networks will minimize their effective energy together with the recognition error when learning. The starting point of Grenadyn is an algorithm called Equilibrium Propagation, developed by AI pioneer Yoshua Bengio, that takes its roots in physics. We will assemble memristive as well as spintronic nanocomponents in neural networks that perform pattern recognition through Equilibrium Propagation. We will show that these dynamical networks learn by nudging their outputs towards the desired solution through a spring-like force, and letting nano-synapses and neurons reorganize themselves towards equilibrium. We will show that they can also learn directly from the data, without supervision. We will induce a high resilience to imperfections in these networks through self-adaptation and digitization. We will demonstrate by experiments and simulations that our physical neural networks made of variable elements compute with an accuracy similar to software neural networks trained with backpropagation. We will produce a chip integrating nanosynaptic devices on CMOS and achieve state-of-the-art recognition rates on AI image benchmarks. We will enhance the network functionalities by leveraging their dynamical properties through synchronization and time-delayed feedback. Finally, we extend Grenadyn’s in-materio self-learning to any assembly of coupled dynamical nanodevices, providing novel horizons for multifunctional materials and devices. Grenadyn’s scientific advances in condensed-matter physics, non-linear dynamics, electronics, and AI will give the foundations for deep network chips that contain billions of nano-synapses and nano-neurons and self-learn with state-of-the-art accuracy.

Keywords: memristors,neuromorphic computing,artificial intelligence
Investigation of the SNP-induced RNA structure variations between subgenomes in polyploid wheat (INSPIRATION)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2022-10-24
Duration (months): 33.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Polyploidization is one of the major driving forces of plant evolution and crop domestication and plays a key role in plant environmental adaptation. The function of multiple gene copies (homoeologous genes) from different subgenomes can vary from each other (sub/neofunctionalization), which is considered as the key to understanding polyploidy evolution and environmental adaptation. However, most sequence variations between homoeologous genes lie on the non-coding region or are synonymous mutations, which cannot lead to codon change. To data, very little is known about how the vast majority of sequence variations over the gene body regions drives subgenomes sub/neofunctionalization in polyploidy. Recently, Single Nucleotide Polymorphism (SNP) induced RNA structural alteration is demonstrated to play key roles in post-transcriptional regulations such as RNA decay and splicing. Further studies in human disease showed that SNP-induced RNA structural changes are associated with diverse human disease and phenotypes. And also, temperature can affect the RNA structures that more stably folded mRNAs tended to show lower decay rate. This brought attention to the existing function of synonymous mutations as well as non-coding SNPs. Thus, I hypothesize that SNP-induced RNA structural alteration might lead to the subgenomes sub/neofunctionalization and play an important role in temperature stress response. As tetraploid wheat is widely grown in the Europe and its yield is severely affected by heat stress, I will test my hypothesis in tetraploid wheat. Firstly, genome-wide RNA secondary structure profiling will be applied to compare SNP-induced RNA structure variations between subgenomes in tetraploid wheat. Secondly, I will investigate the roles of SNP-induced RNA structure variations in RNA stability and splicing pattern changes between subgenomes. Finally, I will assess the role of SNP-induced RNA structure variations in response to high temperature.

Keywords: wheat,polyploid,rna secondary structure,plant high temperature response,plant heat response
Soft launch for the first thinbking music player (PRIZM2016)

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, 2016)
Start date: 2016-05-01
End date: 2016-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Ubithings SAS is a French company founded in 2014, specialized in Ergonomic and Artificial Intelligence. Ubithings carried out a $160 000 Kickstarter crowdfunding campaign (1300 units sold in 1 month) and a 1M€ capital fund raising to develop during two years its first context-aware product: Prizm. With an 20% expected growth in the next 5 years and a IoT European market value of one trillion euros in 2020, IoT represents the next big step towards the wide digitization of both our society and economy. Yet European consumers still express legitimate concerns about IoT (one third of smart wearable purchasers cease to use the product six months after its purchase). However, huge corporate investments are still undertaken: a key place in the forthcoming smart house is at stake. To address users expressed concerns and to occupy a key place next to strong competitors, Ubithings proposes smart device services where the added value is the best perceived and where the ecosystem is the most developed: digital music. Prizm is the first context-aware and learning device that automatically plays the perfect song: just press a button, and the device’s artificial intelligence automatically adapts the music according to the people in the room, their music tastes and habits, and the current atmosphere. Thanks to the partnerships already established with Spotify, Deezer and SoundCloud, we can potentially reach 266M people worldwide. With a short first production of 5000 units, we intent now to investigate economic, commercial and legal feasibility to particularly analyze usage with a middle-sized panel of users (5000), assess business partnerships in physical distribution, look into BtoB business model opportunities with manufacturers, and examine distribution opportunities in the most promising identified territories (US and UK). With Prizm, we expect to speed up IoT services in households and to become a European key player by generating about 47 M€ of revenues in 2018.

Keywords: context awarness,smart house,machine learning,music streaming,connected audio
Non-Invasive Fluorescence-based Tear Glucose Sensor Integrated to a Smartphone (GlucoTear)

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: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

The prevalence of diabetes is continuously rising even in low-income economies. Therefore, blood glucose monitoring tools are in high social demand globally. Uninterrupted monitoring of blood glucose is a must in order to keep the fatal levels of glycated hemoglobin under control and to improve the quality of life for diabetic patients. However, glucose monitoring is compromised by the painful finger pricking about 4-5 times a day to obtain blood samples which leads to patient non-compliance and hence endangering their lifes. The main objective of NANOTEARS is the development of a non-invasive diabetes diagnostic tool by detecting in vitro ocular glucose that is ready to be integrated in a smartphone for point of care and homecare use. Compared to other body fluids, tears are more accessible than blood or interstitial fluid, more continuously obtainable, and less susceptible to dilution. So, it is a worthwhile alternative to finger pricking for repetitive monitoring. Additionally, the use of a cell phone enables systematically collection and management of glucose level records in electronic form in order to reduce medical errors and improve quality of care and promote evidence-based medicine. Our sensing strategy is based on the use of fluorescent spectroscopy. Taking into account, that glucose concentration in tear fluid is about 50-100 lower than the glucose in blood there is a need to enhace the emitted signal to meet the accuracy and tolerance as recommended in the ISO 15197:2013. To reach this goal, we will fabricate highly fluorescent nanocomposite consisting of functionalized carbon quantum dots embedded into mesoporous silica. The entire synthesis will be performed without the need to use residual chemical precursors and stabilizers allowing for “green synthesis”, owing to the use laser ablation in liquids. The use of femtosecond disruptive technology will enable to circumvent the limitations imposed by the low speeds at which nanoparticles are ablated.

Keywords: femtosecond,diabetes,non invasive sensing,glucose,biosensor,fluorescence,tears,smartphone
Cybernetic Communication Networks: Fundamental Limits and Engineering Challenges (CYBERNETS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

This Reintegration Panel proposal, CYBERNETS, focuses on the study of Cybernetic Communication Networks (CCN). CCNs are wireless networks that are context-aware, possess learning capabilities and artificial intelligence to guarantee reliability, efficiency and resilience to changes, failures or attacks via autonomous, self-configuring and self-healing individual and network behavior. Typical examples of CCNs are beyond-5G cellular systems and critical communication systems, e.g., law enforcement, disaster relief, body- area, medical instruments, space, and indoor/outdoor commercial applications. A practical implementation of a CCN requires extending classical communication systems to embrace the dynamics of fully decentralized systems whose components might exhibit either cooperative, non-cooperative or even malicious behaviors to improve individual and/or global performance. In this context, CYBERNETS aims to develop a relevant understanding of the interactions between information theory, game theory and signal processing to tackle two particular problems from both theoretical and practical perspectives: (I) use of feedback and (II) behavior adaptation in fully decentralized CCNs. In the former, the main objectives are: (i) to determine the fundamental limits of data transmission rates in CCNs with feedback; and (ii) to develop and test in real-systems, transmit-receive configurations to provide a proof-of-concept of feedback in CCNs. For the achievement of these practical objectives, CYBERNETS relies on the world-class testbed infrastructure of INRIA at the CITI Lab for fully closing the gap between theoretical analysis and real-system implementation. In the latter, the main objectives are: (i) to identify and explore alternatives for allowing transmitter-receiver pairs to learn equilibrium strategies in CCNs with and without feedback; (ii) to study the impact of network-state knowledge on scenarios derived from the malicious behavior of network components.

Keywords: decentralized wireless networks,feedback,interference,reliability,security,capacity region,cybernetics,cellular networks,information theory,game theory,signal processing,learning
Non Uniform Hyperbolicity in Global Dynamics (NUHGD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2023-08-31
Duration (months): 84.0
Total project cost (EUR): 1229255.0
EU funding (EUR): 1229255.0
Participants: 1
Project status: SIGNED

An important part of differentiable dynamics has been developed from the uniformly hyperbolic systems. These systems have been introduced by Smale in the 60's in order to address chaotic behavior and are now deeply understood from the qualitative, symbolic and statistic viewpoints. They correspond to the structurally stable dynamics. It appeared that large classes of non-hyperbolic systems also exist. Since the 80's, different notions of relaxed hyperbolicity have been introduced: non-uniformly hyperbolic measures, partial hyperbolicity,... They allowed to extend the previous approach to other families of systems and to handle new examples of dynamics: the fine description of the dynamics of Hénon maps for instance. The development of local perturbative technics have brought a rebirth for the qualitative description of generic systems. It also opened the door to describe more globally the spaces of differentiable dynamics. For instance, it allowed recent progresses towards the Palis conjecture which characterizes the absence of uniform hyperbolicity by the homoclinic bifurcations — homoclinic tangencies or heterodimensional cycles. We propose in the present project to develop technics for realizing more global perturbations, yielding a breakthrough in the subject. This would settle this conjecture for C1 diffeomorphisms and imply other classification results. These past years we have understood how qualitative dynamics of generic systems decompose into invariant pieces. We are now ready to describe more precisely the dynamics inside the pieces. We propose to combine these new geometrical ideas to the ergodic theory of non-uniformly hyperbolic systems. This will improve significantly our understanding of general smooth systems (for instance provide existence and finiteness of physical measures and measures of maximal entropy for new classes of systems beyond uniform hyperbolicity).

Keywords: smooth ergodic theory,partial hyperbolicity,non uniformly hyperbolic dynamics,generic dynamics
MILDTECH- Low cost, low temperature, rapid and energy efficient dual frequency microwave assisted vacuum system for drying and cooking foods (MILDTECH)

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-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Freshseal Ltd. is a UK based food and catering equipment company that aims to scale up and bring to market a low cost, low temperature (mild), fast and energy efficient microwave vacuum drying and cooking system that will be commercialised in the EU and global food processing and catering industries. Thanks to the completed FP7 MILD-DRY project, we have successfully demonstrated the system in a relevant environment (TRL6). Our intention now is to build on these pre-industrial results in order to scale up the technology for systematic industrial exploitation. On the one hand our versatile MILDTECH equipment will be capable of drying high value, heat sensitive foods requiring reduce drying times (40% quicker than conventional microwave vacuum dryers), resulting in lower energy (up to 80% reduction in energy consumption) and running costs, increased product throughput, as well as preservation of the nutritional value and improved quality of heat sensitive dried foods compared to conventional drying methods. On the other hand, it will be capable of reduced cooking times (e.g. while chickens can be cooked in 17 minutes vs. 1.5 hours), under a lower heat than conventional ovens resulting in less moisture loss compared to conventional ovens leading to less weight loss (10-15% savings), and at an equipment cost that is cheaper than a conventional Microwave Vacuum dryer. Our business plan is to commercialize the equipment in the global food processing industry with an industrial scale machine (3m x 1.4m x 2m) that will be targeted to food drying companies, as well as a smaller kitchen safe unit (1.4m x 1.2m x 2m) that will be targeted to catering establishments. The market potential of our new food drying/cooking equipment in the global market will be very high; we have initially forecast 5 year sales projections that amount to a cumulative turnover of ~€ 33M sales revenue (which will be further studied and verified during this Phase 1 feasibility study).

Keywords: microwave vacuum dryers,dual frequency microwave under vacuum,food drying and cooking system,heat sensitive foods
ENabling Onshore CO2 Storage in Europe (ENOS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Spain,Estonia,Italy,Austria,Germany,Spain,Italy,Italy,Türkiye,Croatia,Norway,Belgium,Romania,Slovakia,Slovenia,France,France,France,France,Czechia,Netherlands,United Kingdom,United Kingdom,Denmark,United Kingdom,United Kingdom
Call: Enabling decarbonisation of the fossil fuel-based power sector and energy intensive industry through CCS (H2020-LCE-2015-1-two-stage, 2015)
Start date: 2016-09-01
End date: 2020-08-31
Duration (months): 48.0
Total project cost (EUR): 12485258.75
EU funding (EUR): 12485258.75
Participants: 34
Project status: CLOSED

To meet the ambitious EC target of an 80% reduction in greenhouse gas emissions by 2050, CO2 Capture and Storage (CCS) needs to move rapidly towards full scale implementation with geological storage solutions both on and offshore. Onshore storage offers increased flexibility and reduced infrastructure and monitoring costs. Enabling onshore storage will support management of decarbonisation strategies at territory level while enhancing security of energy supply and local economic activities, and securing jobs across Europe. However, successful onshore storage also requires some unique technical and societal challenges to be overcome. ENOS will provide crucial advances to help foster onshore CO2 storage across Europe through: 1) Developing, testing and demonstrating in the field, under “real-life conditions”, key technologies specifically adapted to onshore storage. 2) Contributing to the creation of a favourable environment for onshore storage across Europe. The ENOS site portfolio will provide a great opportunity for demonstration of technologies for safe and environmentally sound storage at relevant scale. Best practices will be developed using experience gained from the field experiments with the participation of local stakeholders and the lay public. This will produce improved integrated research outcomes and increase stakeholder understanding and confidence in CO2 storage. In this improved framework, ENOS will catalyse new onshore pilot and demonstration projects in new locations and geological settings across Europe, taking into account the site-specific and local socio-economic context. By developing technologies from TRL4/5 to TRL6 across the storage lifecycle, feeding the resultant knowledge and experience into training and education and cooperating at the pan-European and global level, ENOS will have a decisive impact on innovation and build the confidence needed for enabling onshore CO2 storage in Europe.

Keywords: co2 geological storage,onshore europe,safe storage,storage sites,pilots,field experiments
Secure Computation on Encrypted Data (aSCEND)

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: France,France
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-06-01
End date: 2021-05-31
Duration (months): 72.0
Total project cost (EUR): 1253892.5
EU funding (EUR): 1253892.5
Participants: 2
Project status: CLOSED

Recent trends in computing have prompted users and organizations to store an increasingly large amount of sensitive data at third party locations in the cloud outside of their direct control. Storing data remotely poses an acute security threat as these data are outside our control and could potentially be accessed by untrusted parties. Indeed, the reality of these threats have been borne out by the Snowden leaks and hundreds of data breaches each year. In order to protect our data, we will need to encrypt it. Functional encryption is a novel paradigm for public-key encryption that enables both fine-grained access control and selective computation on encrypted data, as is necessary to protect big, complex data in the cloud. Functional encryption also enables searches on encrypted travel records and surveillance video as well as medical studies on encrypted medical records in a privacy-preserving manner; we can give out restricted secret keys that reveal only the outcome of specific searches and tests. These mechanisms allow us to maintain public safety without compromising on civil liberties, and to facilitate medical break-throughs without compromising on individual privacy. The goals of the aSCEND project are (i) to design pairing and lattice-based functional encryption that are more efficient and ultimately viable in practice; and (ii) to obtain a richer understanding of expressive functional encryption schemes and to push the boundaries from encrypting data to encrypting software. My long-term vision is the ubiquitous use of functional encryption to secure our data and our computation, just as public-key encryption is widely used today to secure our communication. Realizing this vision requires new advances in the foundations of functional encryption, which is the target of this project.

Keywords: cryptography,public key encryption,secure computation