After a successful first edition, CEA, Inria, IRT SystemX, Systematic and Télécom ParisTech invite you to the DigiHall Day event on March 28 in Palaiseau (Nano-INNOV). A selection of innovative technology demonstrators based on artificial intelligence will be exhibited.

During the morning, several speakers will discuss the issues of explicability and cybersecurity of artificial intelligence. This day will also be a unique opportunity to interact with DigiHall members’ researchers and industrial partners in an innovation village, composed of 50 demonstrators illustrating their complementary expertise around four market themes:

  • Transport and Mobility
  • Industry of the future
  • Defence and Security
  • Health and Environment

Program of the day (in French)

08:30 • 09:00 : accueil

09:00 • 09:10 : ouverture

  • Jean-Noël Patillon, CEA LIST
  • Jean-Yves Berthou, Inria Saclay Île-de-France

09:10 • 09:20 : allocution de Guillaume Boudy, Secrétaire Général pour l’investissement

09:20 • 09:50 Keynote | Homo numericus dans l’espace digital darwinien

  • Pascal Picq, Collège de France

09:50 • 10:35 Table-ronde 1 | Transparence et explicabilité des IA

  • Xavier Perrotton, Valeo
  • Florence d’Alche-Bruc, Télécom ParisTech
  • Bertrand Braunschweig, Inria
  • Jean-Philippe Poli, CEA LIST

10:35 • 10:50 : Pause

10:50 • 11:45 Table-ronde 2 | IA & cybersécurité : attentes réciproques ?

  • Florent Kirchner, CEA LIST
  • Loïc Cantat, IRT SystemX
  • Christine Balague, IMT
  • Thomas Jesson, Bokken Consulting

11:45 • 11:55 Présentation de TOTAL@SACLAY

  • Nathalie Brunelle, TOTAL@SACLAY

11:55 • 12:10 Présentation de MindSphere Application Center

  • Vincent Jauneau, SIEMENS SAS

12:10 • 12:25 DigiHall, une dimension européenne

  • Gregorio Ameyugo, CEA LIST, DIH DigiHall

12:25 • 12:45 allocution de conclusion par Alexandra Dublanche, Vice-Présidente de la Région Île-de-France

12:45 • 14:30 : déjeuner

09:30 • 17:30 : Tech Show

17:30 • 19:00 : Cocktail de clôture


SystemX will present its latest innovations in the field of AI around three themes:

Tooled methodology of design by digital simulation for the autonomous vehicle
Methods and tools to strengthen the link between system engineering and digital simulation.

Data Flows and Artificial Intelligence in Monitoring 5G Radio Access Networks
Design and development of tools for monitoring and analysing data of metrics and events collected from 5G access nodes. Monitoring of 5G radio access with preparation to machine learning techniques for network control.
AI and cybersecurity: are machine learning models faultless?
Assessment of the performance of machine learning models in the presence of an adversary. Presentation of a use scenario based on the detection of malware.

Assisted recognition by artificial intelligence for augmented reality
Integration into devices with low processing capabilities (phones, tablets) of recognition and detection technologies. Method used to allow the first-responders (e.g. firefighters, police), to quickly analyse and appreciate the environment in which they carry out their missions.
Automatic elicitation of traceability links for managing the requirements of a mobility system
Algorithmes de traitement automatique du langage permettant d’assister l’humain pouAutomatic language processing algorithms to assist humans in eliciting traceability links (contradiction, refinement, recovery) between formalized and non-formalised requirements and to explain and measure the impact of choices during the design and implementation of complex systems.

Detection of deviant behaviour in Cooperative Intelligent Transport Systems (C-ITS)
Demonstration of a security platform to detect attacks from malicious elements in Intelligent Transportation Systems (ITS).

Real-time planning of a multimodal transport network
On-the-fly planning of the adequacy between the supply of multimodal transport and the demand for transport in an urban area. Taking into account transport constraints and user behaviour.

Functional test of the decision making of an autonomous vehicle
Evaluation of a decision-making model of an autonomous vehicle to check its safety.

Mobility companion
Application combining a multimodal browser and Artificial Intelligence (AI) modules to provide travellers with predictive and targeted information.

Detection of biometric parameters in a vehicle
Detection of biometric parameters of intelligent car drivers. Demonstration of a complete chain of implementation of machine learning and work carried out with the Faurecia group as part of the EngageAI initiative.

Intelligent cyber defence for connected and autonomous transport
Platform demonstrating the contribution of artificial intelligence for the safety and resilience of embedded computing in charge of driving a car and the autonomous metro. The intelligence of security systems makes it possible to counter cybercrime attacks by immediate reactions in embedded systems, but also to anticipate and follow up on them in a surveillance system.



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