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Innovation

CNRS Informatics's partnership and innovation policy follows the orientations defined by the CNRS Innovation Office (DGDI) and particularly focuses on digital technologies. One of the objectives of CNRS Informatics's laboratories' research is to provide the industrial and business spheres with innovative skills, products and services that generate economic value. Innovation is an inherent element of the majority of CNRS Informatics's laboratories. The Institute's policy in this area is reflected by the creation of start-ups and industrial collaboration projects among other achievements. Companies regularly draw on CNRS Informatics researchers' expertise in many cutting-edge sectors. In this way the Institute plays an important role in the CNRS's innovation dynamic thanks to its research units' capacity to generate industrial collaboration projects and produce technologies that drive the creation of start-up companies.

Innovation at CNRS Informatics

For several years now the global economy has been driven by information and communication technologies. Computer systems with hypercomplex architectures are behind the revolutions linked to advances in e-commerce,…
Datalogger (boîtier blanc en haut) dans lequel sont stockées les images acquises par une vidéocapsule intestinale (au milieu), au cours du transit, et captées par un réseau d'antennes radiofréquence (RF) (bas de l'image)

Start-up companies

CNRS Informatics's benefits fully from the support mechanisms for setting up companies implemented by the CNRS and its partners. Its researchers have thus been able to create several hundred start-up companies since…

The pre-maturation programme

In 2015, CNRS set up a pre-maturation programme aimed at detecting and then supporting the early technological development stages of emerging projects with high innovation potential. This support consists of technical…
Véhicules autonomes

Laboratories jointly run with companies

In the same way as other joint research structures like CNRS/Companies Joint Research Units (UMR) or International Research Laboratories (IRL), associated research laboratories take traditional partnerships further in…

Innovation at CNRS Informatics

For several years now the global economy has been driven by information and communication technologies. Computer systems with hypercomplex architectures are behind the revolutions linked to advances in e-commerce, opening up data and the dematerialisation of many economic and administrative services. Recent technological advances in the field of artificial intelligence have strengthened digital technology's dominant impact on all economic sectors to an even greater extent. CNRS Informatics's research units have thus proved to be key players in the digital revolution and the knowledge economy.

The fields of research of these units range from fundamental computer science to automation and from the design of systems on chips (software/hardware interface) to robotics or signal and image processing. CNRS Informatics researchers develop application software, system services, network protocols or even code embedded in drones or smart cards. They thus provide expertise in machine learning, robot control, network security, human-machine interaction or decision support for policy-makers.

Software is thus the main target object of the CNRS Informatics's approach to innovation. The fields of application are highly diverse so software development at CNRS Informatics is aimed at different market segments including the automotive industry, aviation, factories of the future, IT services, medicine, the intelligent city, e-commerce, the cultural industry or decision-making support systems for public policy-makers. The Institute is therefore positioning itself to respond to the respective expectations of different economic sectors to understand more about the most suitable modalities for collaboration projects and technology transfer.

Although software is the Institute's prime valorisation object, other forms of research results are coming to the fore in the areas of invention, know-how or databases. These emerge from CNRS Informatics units and are often developed in the framework of collaboration projects with our socio-economic partners.

Start-up companies

CNRS Informatics's benefits fully from the support mechanisms for setting up companies implemented by the CNRS and its partners. Its researchers have thus been able to create several hundred start-up companies since 1999.

Over 350 start-up companies have come out of CNRS Informatics laboratories

(since 1999)

25% of CNRS start-up companies come from CNRS Informatics
29 start-up companies have received i-Lab awards

(since 2015)

Start-up companies from CNRS Informatics laboratories work in diverse fields of expertise as varied as security, health, software development, industry, innovation support or energy in relation to the problems of today's society.

Security

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Cyber-Detect : une solution pour détecter les attaques informatiques inédites

Fruit de dix années de recherche au Laboratoire lorrain de recherche en informatique et ses applications (Loria - CNRS/Université de Lorraine/Inria), la technique d'analyse de codes malveillants proposée par la start-up Cyber-Detect permet d'identifier les attaques inédites, ainsi que les virus camouflés pour échapper aux logiciels de détection couramment utilisés.

En savoir plus : actualité de la Lettre Innovation du CNRS du 20/07/2017

 

 

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KeeeX : Blockchain certification and traceability of documents, processes and decisions

KeeeX is a spin-off from the Information and Systems Science Laboratory (LIS - CNRS/Aix-Marseille University/University of Toulon), the company uses patented processes that make documents and processes secure and verifiable. Its operational and scalable solutions, unique today, are aimed at all industrial players.

En savoir plus : actualité de la Lettre Innovation du CNRS du 17/11/2016

 

Health

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Texis : quand modélisation biomécanique et capteurs textiles préviennent les plaies de pression

Une licence exclusive de brevets octroyée à la start-up Texis lui a permis de développer une solution logicielle de modélisation biomécanique du membre inférieur et de la région fessière, intégrant structures osseuses articulées et tissus mous (peau, graisse et muscles). Issue des travaux de recherche du laboratoire Techniques de l'ingénierie médicale et de la complexité - informatique, mathématiques et applications, Grenoble (TIMC-IMAG - CNRS/Université Grenoble Alpes), Texis commercialise également des textiles intelligents équipés de capteurs de pression brevetés qui évitent le développement de plaies de pression de type escarre.

En savoir plus : actualité de la Lettre Innovation du CNRS du 28/04/2016

 

 

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Autonomad Mobility : un kit de motorisation pour fauteuil manuel

Le kit de motorisation adaptable à tout type de fauteuil roulant manuel mis au point par Autonomad Mobility, start-up issue du Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines (LAMIH - CNRS/Université Valenciennes Hainaut-Cambrésis) offre une assistance électrique ajustable et à une solution technologique innovante pour le franchissement d’obstacle.

En savoir plus : actualité de la Lettre Innovation du CNRS du 18/09/2014

Industry

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Amiral Technologies : early detection of anomalies of industrial equipment

With the rise of industrial IoT, high return on investment is expected from predictive maintenance solutions. But unfortunately, the lack of historical failure data to train machine learning algorithms in the last years, has led to a lot of frustrations from industrial customers and investors. A new route to success had to be opened. This could only come from academic research. Thanks to its novel technology invented by CNRS (National Center of Scientific Research), in the last 18 months, Amiral  Technologies has proven to several customers that its breakthrough approach to failure prediction has removed this major roadblock to reaching high ROI.

 

 

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Levée de 2,4 millions d’euros pour la start-up lilloise Vekia

Vekia, issue du Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL - CNRS/Université de Lille/École Centrale de Lille) s’attaque aux marchés étrangers. Cette start-up issue du CNRS est spécialiste de solutions d’optimisation de la gestion des flux des entreprises de la distribution, comme la gestion des stocks de magasins et de plateformes. 

En savoir plus : actualité de la Lettre Innovation du CNRS du 21/09/2015

Energy

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Bladetips Energy : vers des éoliennes volantes, plus légères, plus compactes et plus rentables

Issu du laboratoire Grenoble Image, Parole, Signal, Automatique (GIPSA-lab - CNRS/Grenoble INP/Université Grenoble Alpes), le projet Bladetips Energy développe un nouveau système volant d’éolienne offshore, basé sur l’élimination d’éléments constitutifs d’une éolienne classique et l’utilisation de drones. Une technologie plus légère qui, tout en allant plus haut dans le ciel, réduit de 60 % le coût de cette énergie renouvelable.

En savoir plus : actualité de la Lettre Innovation du CNRS du 22/09/2016

Innovation

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Skopai : an artificial intelligent based platform for start-up

Skopai is an artificial intelligent based platform used to analyse and search for text-based information all over the web on start-ups and innovative SME’s worldwide. On skopai.com, users have access to a personal account and based their preferred subscriptions are able automatically detect startups positioning within any industry of interest and with this information, and gain a quick and up-to-date access to an indepth analysis on the start-ups of their choice.

Start-ups are now considered the most useful pillars in the growth and dissemination of innovation and are also at the core of evolution in the different innovation scenes, Europe included. They are indeed rewarded for their high risk culture, simple management systems , rapid organization growth and their unique ability to combine an R & D roadmap and a marketing strategy.

The startup ecosystem is booming not only in big European capitals such as Berlin, Barcelona, ​​London, Paris, Amsterdam or in the Nordic countries, but also in many other parts of the world.

This has contributed immensely to the maturity of the “innovation market” which is based on transactions with start-up companies through investments and B2B contracts. In Europe, transactions related to startups represent about 30 billion euros is rapidly growing. Due to this it is highly beneficial to have a substancial amount of knowledge on start-ups.

 

RH - soft skills

skilder

Skilder : évaluer les compétences comportementales grâce à un jeu de rôle numérique

La start-up Skilder, en s'appuyant sur les travaux de trois laboratoires du CNRS dont le Laboratoire d'informatique en image et systèmes d'information (LIRIS - CNRS/Université Lumière Lyon 2/École Centrale de Lyon/Insa Lyon/Université Claude Bernard Lyon1) et le Laboratoire d'informatique de Grenoble (LIG - CNRS/Inria/Université Grenoble Alpes) et de ses partenaires, a construit une plateforme numérique d'évaluation des compétences comportementales (empathie, leadership, écoute, persuasion...) permettant aux entreprises de mieux recruter ou former leurs collaborateurs.

En savoir plus : actualité de la Lettre Innovation du CNRS du 26/11/2020

Industrie des loisirs

Drone Interactive

Drone Interactive : introduire les drones dans les parcs de loisirs

Issue de travaux du laboratoire Grenoble Image, Parole, Signal, Automatique (GIPSA-lab - CNRS/Université Grenoble Alpes), la start-up Drone Interactive crée un nouveau type d'attraction interactive multijoueur mêlant pilotage de drones et univers de jeux vidéo. Elle vient de signer son premier contrat d'installation dans un parc de loisirs à Lyon.

En savoir plus : actualité de la Lettre Innovation du CNRS du 26/05/2019

The pre-maturation programme

In 2015, CNRS set up a pre-maturation programme aimed at detecting and then supporting the early technological development stages of emerging projects with high innovation potential. This support consists of technical and financial assistance to help such projects reach TRL level 3 (analytical or experimental proof of the project's main functions and/or characteristics of its concept). The winning projects are supported by a team made up of representatives of various CNRS departments and also partners involved in the valorisation of the Institute's research results such as the CNRS's Business Relations Department (DRE) and Partnership and Technology Transfer Department (SPV), CNRS Innovation and the Institute's own internal Technology Transfer Unit.

This programme has been intentionally positioned ahead of the work carried out by CNRS Technology Transfer Companies (SATTs). At the end of the 12 to 18 months of support, the financed projects are then supported by a SATT in the context of a maturation project. Pre-maturation enables possible obstacles that could block the implementation of the innovation to be identified and put right. All project proposals made by researchers, academics or engineers working for CNRS Informatics research units are eligible. Project leaders are invited to submit their projects to CNRS Informatics Technology Transfer Units by one of the four 2021 deadline dates:

  • Deadline date 1 for CNRS Informatics to receive applications: February 26th 2021
  • Deadline date 2 for CNRS Informatics to receive applications: April 30th 2021
  • Deadline date 3 for CNRS Informatics to receive applications: June 25th 2021
  • Deadline date 4 for CNRS Informatics to receive applications: October 1st 2021

The evaluation process for submitted projects has 3 phases:

  • Phase 1: the submitted projects are evaluated by the Institute;
  • Phase 2: projects which are pre-selected by the Institute are evaluated by a CNRS Scientific Committee;
  • Phase 3: projects selected by the scientific committee are then submitted to a steering committee made up of representatives from the CNRS and the socio-economic sphere which interviews the project leaders. All projects which are finally selected will receive funding and will be launched straight afterwards.

Laboratories jointly run with companies

In the same way as other joint research structures like CNRS/Companies Joint Research Units (UMR) or International Research Laboratories (IRL), associated research laboratories take traditional partnerships further in the form of collaboration contracts. They go beyond classic short-term research projects with objectives that are regularly updated through ad hoc governance. Associated research laboratories operate on the basis of collaboration contracts that provide a framework to structure projects with high scientific and industrial stakes. These generally involve one or more research team(s) and an industrial concern working together on a shared medium- or long-term research programme.

Arès, Machine Learning And Computer Vision For Intelligent Robots

ANR LabCom. Partners: LIRIS / Siléane

The increasing automation of dangerous, tedious and repetitive tasks is a symbol of technological progress and essential for effective productivity levels and competitiveness. The sustainability of an industrial site partly depends on its flexibility and the scalability of its production tools in a globalized market context with strong competition and rapidly changing requirements.

The objective of this Labcom project is to develop new machine learning and computer vision methods to create flexible, adaptable, autonomous robotized tools able to guarantee high productivity and manage ultra-flexibility as required in many industrial applications.

The aim is to contribute to improving the performance of the task of sorting and placing products in a context of high diversity and high flexibility. This task is often very tedious and repetitive and is found across all industrial manufacturing processes (foundry, chassis, machining, stamping, sheet metal, assembly)

To achieve these aims, the Labcom ARES project combines two complementary partners who will pool their research, innovation and development capacities and make their already strong cooperation on R&D official:

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© Siléane

Behaviors.ai, an artificial intelligence engine which enhances the verbal and non­verbal interactions of

ANR LabCom. Partners: LIRIS / HOOMANO

The mission of the joint laboratory Behaviors.ai (Behaviors.ai is an Engine enHancing verbAl and non­Verbal InteractiOns of RobotS, based on Artificial Intelligence) is to develop an intelligent interaction engine capable of generating human-robot interactions and making them more empathic, intuitive and natural.

This project brings together artificial intelligence researchers from the Computer Science Laboratory for Image Processing and Information Systems (LIRIS - CNRS/ Lyon INSA /Université de Lyon/École Centrale de Lyon) and HOOMANO, a start-up company which specializes in developing software for social robots. The objective of Behaviors.ai is to succeed in transferring fundamental research results, notably in developmental learning, to the business-to-business markets HOOMANO works in.

 

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© Stéphane Rambaud

 

Cherchons pour Voir, des solutions interactives et inclusives au service des déficiences visuelles

Laboratoire commun (LCR). Partenaires : IRIT / CESDV Institut des jeunes aveugles

Le laboratoire commun Cherchons pour Voir se situe à l’interface entre le monde professionnel de la déficience visuelle et celui de la recherche. Il vise notamment à développer des technologies d’assistance pour améliorer l’autonomie et la qualité de vie des personnes non voyantes et malvoyantes. Les projets se consacrent, entre autres, à l’élaboration de cartes interactives d’aide à la localisation, des dispositifs numériques pour faciliter l’accès à l’information, l’éducation ou encore la culture.

Sites internet des partenaires :

Cybermallix, des solutions de cybersécurité prédictive pour la lutte contre les malwares et les virus

Laboratoire commun (LCR). Partenaires : LORIA / Wallix

L’objectif du laboratoire commun Cybermallix est de concevoir des méthodes et de développer des outils pour faire face aux attaques par code malveillant et de détecter les intrusions, et les attaques par déni de service (DDO). Les méthodes scientifiques impliquées sont les méthodes formelles, la rétro-ingénierie et l'IA. Les scientifiques du LORIA effectueront également, en commun avec les ingénieurs de WALLIX, des travaux de recherche sur la cybersécurité, afin d’explorer les questions de sécurité des objets connectés, en particulier des véhicules autonomes. Ils renforceront également la surveillance et la détection des codes malveillants, notamment grâce à l’utilisation des outils d’apprentissage automatique de l’intelligence artificielle.

Site internet des partenaires :

Dynamograde « la force de la marche », des robots à pattes (bipèdes et quadrupèdes) autonomes

LabCom ANR. Partenaires : LAAS-CNRS / Toward

Le laboratoire commun Dynamograde a vocation à devenir un centre de référence pour la prochaine génération de robots humanoïdes dont le robot Atlas de Boston Dynamics est le premier modèle visible.

Il a pour objectif principal de mettre en place une solution complète pour la locomotion artificielle de robots bipède et quadrupède, en s’appuyant sur la richesse des expérience commune du Laboratoire d’Analyse et d’Architecture des Systèmes (LAAS-CNRS) et Toward. L'idée est de développer de nouvelles manières de contrôler des robots marcheurs, comme le robot Talos, premier robot humanoïde de taille réelle asservi en couple disponible commercialement.

Sites internet des partenaires :

FiT, lutter contre la criminalité financière

Joint laboratory. Partners: LIP6 / Bleckwen

Over the last years, financial crime became a very expensive plague slowing down the advent of the digital society. In 2019, the cost of financial crime was estimated at 1.45 trillions dollards.

Within this context, fighting against frauds, identity theft, or money laundering is a major issue. This fight relies on the analysis of massive sequences of financial transactions aiming at detecting traces of illegal activities such that proper counter measures can be undertaken. Nonetheless, advances in this fight are hindered by a ruthless lack of methods and tools to model and analyze the transactions in a suitable way.

The FiT labcom's primary objective is to lead the scientific and technological advances required to significant progresses in anomaly detection in financial transactions.

Bleckwen and the team ComplexNetworks wish to join their expertise to model and analyze financial transactions as link streams (see image below). They are currently developping and implementing the formalisms and algorithms enabling the proper exploitation of these data.

FiT
© FiT

 

ICI-lab, Intelligence artificielle embarquée et capsules ingérables Lab

LabCom ANR. Partenaires : LIP6 / BodyCAP

La société BodyCAP et le laboratoire le Laboratoire LIP6 (CNRS/Sorbonne Université) ont mené, entre autres partenariats, une collaboration de recherche portant sur le développement d’une vidéocapsule destinée à la prévention du cancer colorectal. Afin de pérenniser leur collaboration dans un cadre plus structurant, les deux partenaires décident de s’appuyer sur leurs travaux communs et sur les développements de BodyCAP relatifs à une première génération de capsules électroniques ingérables destinées à la mesure de température par voie gastro-intestinale. Cette vision commune se traduit par la création du LabCom ANR ICI-lab qui a un double objectif :

  • Mettre en œuvre un programme de recherche utilisant l’intelligence artificielle pour le traitement automatique de l’image visant la détection et la caractérisation de polypes,
  • Intégrer de nouveaux capteurs (gaz, pH, microbiote) au sein de la vidéocapsule afin de caractériser l’environnement exploré, en l’occurrence l’intestin.

En s'appuyant sur ICI-lab, BodyCAP et le LIP6 ambitionnent de proposer une rupture technologique en intégrant de l’intelligence artificielle au sein de vidéocapsules endoscopiques pour détecter automatiquement des marqueurs de pathologies.

Image4US : une imagerie de pointe pour la recherche clinique

Labcom ANR. Partenaires : CREATIS / DBSAS

Bien que l’imagerie par ultrasons 2D soit largement répandue à travers le monde, l’échographie 3D peine, quant à elle, à fournir des images de qualité à haute cadence. Le laboratoire commun Image4US s’est ainsi donné pour objectif de développer un dispositif d’imagerie médicale ultrasonore 3D de précision et à grand nombre de voies (1024). Le système proposé se distingue par ses caractères ouvert, flexible et transportable À terme, un tel outil se destinera à accompagner les chercheurs dans le cadre de recherches cliniques pour une meilleure identification des structures anatomiques ou encore une estimation plus précise du flux sanguin.

Sites web des partenaires :

PosiLab, Precision Parallel Positioners and Redundancy

ANR LabCom. Partners: LIRMM / Symétrie

The PosiLab LabCom aims to demonstrate the potential of redundant parallel positioner robots for precise positioning applications which are demanding in terms of performance (high rigidity, large workspace, high stability) in the fields of optics and space. The LabCom works in a tense economic and industrial context with a high level of competition and where competitiveness is vital. This LabCom brings together researchers and engineers from the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (a University of Montpellier/CNRS joint research unit) and Symétrie (an SME based in Nîmes). PosiLab has the ViaMéca competitiveness cluster label.

The PosiLab LabCom finds answers to the questions of "how to design optimally, then control robustly positioner robots capable of high precision (below micron and arcsecond) while (i) remaining insensitive to external disturbance and (ii) providing a large workspace." These are the identified requirements in the fields of optics, space, medical and microelectronics. The use of redundancy - or rather redundancies – will be implemented to achieve this.

 

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© Symétrie

Redchain-Lab, la technologie blockchain pour un cloud solide, décentralisé et respectueux de la confidentialité

Joint laboratory. Partners: LIRIS / iExec Blockchain Tech

The RedChain-Lab joint laboratory project aims at developing protocols and operational blocks to set up a decentralized cloud infrastructure that offers scalability, resilience, trust and confidentiality properties. This infrastructure will be based on blockchain technology whose unique intrinsic properties of decentralization, robustness and transparency make it the most qualified technology to achieve functional objectives.
 

Partners' Websites : 

Rob4Fam, Robots For the Future of Aircraft Manufacturing

Joint laboratory. Partners: LAAS-CNRS / Airbus

One of Rob4Fam's (Robots For the Future of Aircraft Manufacturing) scientific challenges is to provide robots with the capacity to be reactive or, in other words, to ensure they can detect a change in their work environment and make a real-time decision to adapt to it. For example, a "reactive" robot needs to stop if it perceives a human operator intervening and then resume its task taking into account any modifications made by that operator.

Rob4Fam is also working on a project to develop technologies that can be adapted to different generations of robots.

 

Rob4Fam démonstration
© LAAS-CNRS

SIBIL-Lab, des solutions logicielles pour contrer les fraudes dans le B2B

Labcom ANR. Partenaires : LIRIS / Attestation Légale (OFA)

Le SIBIL-Lab s’attaque à la problématique de la gestion de l'identité numérique et à la détection des tentatives de fraudes. Le labcom développe des solutions dans le cadre du réseau social B2B créé par l’entreprise Attestation Légale qui permet de gérer des relations clients/fournisseurs interentreprises. L’objectif : soutenir la mise en place d’une plateforme capable de dimensionner, détecter et contrer les tentatives de fraude et ainsi assurer la sécurité et confidentialité de données sensibles des acteurs économiques.

Sites web des partenaires :

SIVALab, perception and localization systems for autonomous vehicles

Joint laboratory. Partners: Heudiasyc / Renault

 

Renault and the Heuristics and Diagnostics For Complex Systems Laboratory (Heudiasyc - CNRS/ University of Technology of Compiègne) have set up a new joint research laboratory called SIVALab (Integrated systems for Autonomous Vehicles Laboratory) which will be based in Compiègne.

This scientific and technological partnership is the fruit of a relationship of trust between Renault and Heudiasyc that has lasted over ten years. The SIVALab laboratory has shared governance and resources and provides a structure adapted to the sustainability of scientific developments and the implementation of large-scale projects. It is working on a four-year research programme.

This collaboration project's main focus is on the reliability, integrity and accuracy of perception and localization systems used for the navigation of autonomous communicating vehicles. The data analysed comes from the vehicle's sensors, pre-established navigation maps and from the exterior, via dynamic links to other road users and infrastructure. Thanks to an intelligent management of the combination of this data from multiple sources, the vehicle has a greater capacity to locate itself in its environment than it could alone with its sensors.

 

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© UTC - C. Schryve

 

SurferLab, Distributed Intelligence for Transportation Systems Laboratory

Joint laboratory. Partners: LAMIH / Bombardier Transport / Prosyst

SurferLab is built around a core theme involving embedding artificial intelligence based processing capabilities in complex mobile systems (trains, cars, planes, trucks, AGVs, etc.) to implement and optimize various control, monitoring and diagnosis (health monitoring) functions.

SurferLab is a joint research laboratory formed of Bombardier Transport, Prosyst and the Laboratory of Industrial and Human Automation control, Mechanical engineering and Computer Science (LAMIH – CNRS/ Université Polytechnique Hauts-de-France. LAMIH is renowned for its work on transport and security, mobility and disability.

SurferLab's aim is to make these systems more intelligent, more autonomous, and capable of adapting to the unexpected. These systems are immersed in a fleet interacting with a control or maintenance centre and a human operator. This is a cyber-physical type (CPS) approach and in principle concerns all modes of transport.

 

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© SurferLab

TechnoFUS Lab, des dispositifs de thérapies ultrasonores guidés par imagerie

LabCom ANR. Partenaires : ICube / Image Guided Therapy (IGT)

Les thérapies par ultrasons focalisés (FUS, focused ultrasound, ou HIFU pour High Intensity Focused ultrasound) ont émergé dans les années 2000 comme de nouvelles thérapies non-invasives reposant sur l’interaction physique entre l’onde ultrasonore de haute intensité et le tissu à traiter. Selon son mode d’utilisation, l’énergie ultrasonore permet par exemple de brûler une tumeur cancéreuse en profondeur, ou bien de perméabiliser certaines barrières physiologiques afin de faciliter la délivrance localisée de médicaments. Ces méthodes ont évidemment un potentiel thérapeutique considérable, de par leur caractère non-invasif et non-ionisant. Malgré ce potentiel unique, elles reposent sur de nombreuses briques technologiques majeures. Leur efficacité et leur sûreté ne peuvent être garanties que si les étapes de planification préopératoire, de ciblage et de suivi en temps réel sont proprement traitées, chacune représentant un réel défi technologique.

Le LabCom TechnoFUS s’appuie sur l’expertise du laboratoire ICube dans les domaines de la robotique, de l’imagerie interventionnelle, et plus généralement, des gestes médico-chirurgicaux assistés par ordinateur, et celle de la société Image Guided Therapy dans le domaine des dispositifs ultrasonores et des thérapies guidées par l’image. L’objectif est, à terme, de lever les verrous technologiques majeurs liés à ces thérapies et de les rendre plus performantes et plus accessibles.

Sites web des partenaires :

Telecom4Health (T4H), des technologies et solutions dédiées à la santé

Laboratoire commun (LCR). Partenaires : LIG / Orange

L’objectif du laboratoire commun T4H est de mener des travaux de recherche autour de l’intelligence artificielle et des nouvelles technologies appliquées à la médecine dite “4 P” : prédictive, préventive, personnalisée et participative. Les activités du labcom portent sur la gestion de consentement grâce à l’apport de la blockchain ; les sons santé afin d’atteindre des transmissions médicales de haute qualité ; le suivi à distance et l’IA raisonnée.

Sites internet des partenaires :