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November 14, 2019 | ExpressIF platform now offers constraint satisfaction reasoning capabilities

ExpressIF List 250Solving combinatorial problems requires special artificial intelligence software. This type of software was recently added to the ExpressIF platform, which can now solve even more complex problems.

Unlike neural networks, symbolic artificial intelligence algorithms simulate human reasoning by exploring a set of solutions to a given problem. The ExpressIF software platform developed by CEA Tech institute List, which uses deductive reasoning, was recently updated with a new type of reasoning known as "constraint satisfaction" reasoning, so that it can tackle even more complex problems.

Constraint satisfaction solvers are algorithms that effectively solve combinatorial problems. With fuzzy constraint satisfaction solvers, for example, priorities can be set and requirements and preferences introduced so that only certain constraints must be satisfied only partially. This is the kind of algorithm that was integrated into ExpressIF to give the platform greater flexibility in terms of how a problem must be stated (in natural language at that!) and to allow it to find more complex solutions.

This new reasoning component will position ExpressIF to address problems like scheduling, task allocation, positioning, and the annotation of items in images. It will be used on concrete tasks for EU research projects Micado (to analyze spectra and recognize isotopes using mass spectrometry) and Deephealth (to annotate medical images).

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November 8, 2019 | To combine agility and competitivity in manufacturing industry? The EU DIMOFAC project takes up the challenge!

dimofac logoMass customization is a major challenge for the manufacturing industry. To stay ahead, factories must be able to constantly reconfigure their production lines while maintaining profitable yields. The solution is to combine a more agile organization with digital simulation to increase the efficiency of manufacturing processes. The EU DIMOFAC project, which was officially launched on November 6, 2019 at the CEA, France, will develop technologies to enable efficient mass customization.

The ability to customize mass-produced consumer products is vital to the growth of today's manufacturing companies. However, modifying existing manufacturing processes to produce custom output is a major challenge. One solution is to create a digital twin of the factory and model manufacturing processes to enable virtual production management. When combined with a modular organization of the factory floor, this digital twin can be used to reconfigure production lines, making them faster and more agile and rendering processes more efficient. A digital twin can reduce the time it takes to reconfigure a production line by for example up to 75% for interactive displays, up to 50% for cosmetic packaging, aeronautics components, and 3D printing, and by up to 30% for razors and industrial modules.

The EU DIMOFAC project will bring manufacturing companies digital modelling and reconfiguration solutions, a network of pilot production lines, "flagship" factories, and Digital Innovation Hubs offering R&D and tech-transfer services to support the validation and testing of the processes developed. A total of six industrial demonstrators will be implemented on project partners' (Philips, Sculpteo, Albéa, VDL, Schaltag, and Eire Composites) production lines. The demonstrators will integrate in particular tools developed by the CEA, including CIVA for in-line quality control using automated non-destructive testing (NDT) techniques and, mostly, Papyrus for the functional digital twin of manufacturing production lines.

A number of CEA technology platforms are involved in the project, including the Additive Factory Hub (AFH), FFLOR, PICTIC, SMART FACTORY KL, and MANUHUB@WG.

The DIMOFAC project brings together a consortium of 30 partners from across Europe, and is coordinated by the French Alternative Energies and Atomic Energy Commission (CEA). The official project launch took place on November 6 and 7, 2019 at the CEA campus in Grenoble, France.

dimofac illustration

The DIMOFAC project

+ Budget: >19 million
+ Duration: 4 years
+ Partners: The French Alternative Energies and Atomic Energy Commission (CEA, coordinator), Siemens Industry Software SAS, Philips Consumer Lifestyle BV, Albéa Services SAS, VDL Industrial Modules, Schaltag AG, ESI Software Germany GmbH, Intrasoft Intl. S.A., Comau S.p.A., Sculpteo Fill Gesellschaft mbH, Eire Composites Teoranta, New Infrared Technologies SL, TTS Technology Transfer Systems SRL, Electronic and Optomechanic Engineering EXOM SL, FundingBox Research APS, TopSolid, Innovalia, Brainport Industries Cooperatie UA, Technologie Initiative SmartFactory KL e.V., European Association of the Machine Tool Industries, Switzerland Innovation Park Biel/Bienne AG, University of Patras (LMS), Centre Technique Industriel de la Plasturgie et des Composites, Fundacion Tecnalia Research & Innovation, Organisatie voor Toegepast Natuurwet. Onderzoek (TNO), Deutsches Forschungszentrum für künstliche Intelligenz GmbH, Association de Investigacion Metalurgica del Noroeste, Politecnico di Milano, and Datapixel.

DIMOFAC will receive €14 million in funding from the European Commission under contract no. 870092.




October 14, 2019 | Complex computations on encrypted data now possible

CEA List calculs complexes donnees chiffrees 250In e-healthcare, keeping personal data confidential is crucial. But when you store and analyze data on servers that are connected to the internet, that data becomes vulnerable to hackers, especially during transmission. A brand new homomorphic encryption system has made complex computations on encrypted data possible.

Cingulata was developed by List, a CEA Tech institute, to create applications capable of performing computations on encrypted data. This single software compilation chain previously supported only the Brakerski/Fan-Vercauteren (BFV) homomorphic encryption scheme, the most commonly used within the community. It now has a new, more powerful cryptosystem library, TFHE (Fast Fully Homomorphic Encryption over the Torus), designed by List (that earned the Carnot seal in 2006) and academic research labs.

TFHE's fast bootstrapping reduces the time it takes to complete a multiplication operation so that time is constant—it does not depend on the number of operations that precede it. This means that for the same application, using TFHE in Cingulata can speed up computation times by a factor of at least ten compared to BFV. Ultimately, Cingulata will integrate other cryptosystems and serve as a single interface.

The new version of Cingulata has already been used in the EU Horizon 2020 project KONFIDO, for example, where it is helping to develop solutions to allow doctors located in different European countries to read patients' medical files online without putting confidentiality at risk. And companies like Orange and Thales are looking at how Cingulata can help them respond to the needs of their respective markets.

An open source version of Cingulata with TFHE is available on GitHub:

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L’institut Carnot TN@UPSaclay (CEA List) aux rendez-vous Carnot 2019


carnot 2019 1Au croisement de la recherche et du développement industriel, l’institut Carnot TN@UPSaclay (CEA List) focalise ses programmes de R&D sur l’intelligence artificielle, l'usine du futur, les systèmes cyberphysiques et la santé numérique. Il contribue à la compétitivité des entreprises par l’innovation et le transfert technologique et collabore chaque année avec plus de 200 entreprises, dont 50% de PME.

Nos 3 atouts ? Un important portefeuille de technologies génériques protégées par des brevets, une approche d’« ensemblier de l’innovation » et des plateformes technologiques de haut niveau.

Retrouvez-nous sur le stand H33 (Espace Champerret) et sur les conférences suivantes :

carnot 2019 2Conférences plénières

16 octobre, 11:00-11:40 | Quelles opportunités pour l’IA dans le secteur manufacturier ?

Pour le Carnot TN@UPSaclay :

  • Eric Bévillard, Bureau Etude Marketing, CEA Tech
  • Florent Pénet, Consultant en marketing et stratégie de l’innovation technologique, CEA Tech

Pitchs Espace Manufacturing (J32)

  • 16 octobre, 09:00 | « Isybot, l’automatisation agile » | Yvan Measson, Isybot
  • 16 octobre, 14:00 | « La perception automatique, fonction primaire des machines intelligentes » | Stéphane David, Carnot TN@UPSaclay (CEA List)

Pitchs Village Findmed

  • 16 octobre, 10:30 | « Collecte et analyse des données avec l’IA : comment aider les professionnels de la santé ? » | Romain Farel, Carnot TN@UPSaclay (CEA List)
  • 17 octobre, 10:35 | « Nouveaux outils logiciels pour l’optimisation des pratiques en imagerie médicale » | Guillaume Boissonnat, Carnot TN@UPSaclay (CEA List)

Pour en savoir plus venez nous rencontrer sur le stand H33 à l’espace Champerret lors des RDV Carnot les 16 et 17 octobre 2019 !

Pas encore inscrit ?

À très vite !



7 octobre 2019 | Le List développe l’exosquelette EMY pour redonner la mobilité à des patients tétraplégiques

clinatec 1 2
Pilotage de l’exosquelette 4 membres par le patient dans le cadre du projet BCI mené à Clinatec ©Clinatec


Pour la première fois, un patient tétraplégique a pu se déplacer et contrôler ses deux membres supérieurs grâce à une neuroprothèse, qui recueille, transmet et décode en temps réel les signaux cérébraux pour contrôler un exosquelette réalisé par le CEA List, institut Carnot. Les résultats de l’étude clinique du projet Brain Computer Interface (BCI), réalisée à Clinatec (CEA, CHU Grenoble Alpes) ont été publiés le 4 octobre 2019 dans la revue The Lancet Neurology. Suite à l’opération de presse organisée par le CEA et Clinatec le 7 octobre, de nombreux articles et reportages ont souligné cette avancée pour les patients.

Le défi du List

Pur l’équipe de robotique ExoBCI installée à Grenoble, au plus près des patients, l’exosquelette EMY (Enhanced Mobility) est le fruit de plusieurs années de développement et d’intégration des briques d’actionnement réversible et de contrôle-commande du List. La conception d’EMY a spécifiquement pris en compte l’interaction d’une personne tétraplégique avec l’exosquelette pour pouvoir la mobiliser en toute sécurité. Les outils de conception logicielle du List ont également contribué à ce succès en assurant la sécurité des cartes électroniques utilisées pour le pilotage de l’exosquelette.

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