Many industrialists ask us about artificial intelligence : What is AI? What can the AI do for me in my business, products or services? How can I identify the most emerging AI technologies? Where to start ? Who can bring me solutions ?
In the framework of the FIT association, IRT have decided to get together to design a joint R&D offer dedicated to this technology: EngageAI.
EngageAI is an initiative built to meet the needs of the industry:
- Most of our collaborative projects integrate AI.
- Many locks have already been identified in the field of AI.
- We have built a structured expertise around an offer that accelerates skills transfer revolving around AI between academic research and the industry.
What EngageAI has to offer?
The EngageAI initiative supports your digital transformation through AI using a transfer of results and know-how developed within our projects. One of our main goals is to advance knowledge and develop AI methodologies by partnering with the relevant academics.
Our offer is divided into three parts :
A fast and agile interaction mode focused on initializing the use of AI
Multi-partner projects de R&D focused on the impact of AI technologies on the industrial fabric
Accelerated fundamental research around AI
|Active Wellness – Faurecia||TAS – Safe Autonomous Land Transport||MSM – Modelling Mobility Solutions|
IRT SystemX R & D projects involved in the EngageAI initiative:
– EPI, AI-based Decision Making Systems’ Performance Evaluation
– IVA, Enhanced Traveller Information
– MSM, Modelling Mobility Solutions
– MPO, Predictive Maintenance and Optmization
– DOS, Obstacle Detection and Lateral Signals / TAS, Safe Autonomous Land Transport
– CTI, Cybersecurity for Intelligent Transport
Theses carried out as part of the EngageAI initiative :
– “Intrusion Detection for Cybersecurity of Intelligent Transportation Systems”, CTI project
– “Generation of scenarios for the learning and validation of a decision function for the control of autonomous vehicles or assistance with the piloting of ships”, EPI project – to begin in September 2019
– “Analysis of mobility practices and load prediction in public transport using digital traces. Case of the metropolis Parisienne”, IVA project
– “Deep learning and business knowledge for monitoring and diagnosing failures based on massive complex data”, MPO project – starting in September 2019
– “Estimation of the trajectory of a user on a multimodal transport network by analyzing the logs of mobile networks”, MSM project
Kamal Medjaher (Ecole Nationale d’Ingénieurs de Tarbes – Laboratoire de Génie Industriel, CentraleSupélec) will run ... Read more
Thomas Bonald (Télécom Paris) will run a Seminar@SytemX on the topic « Spectral Methods for Graph Embedding », on September 17, 2020, ... Read more