As part of the French Presidency of the Council of the European Union, the Directorate General of Enterprise (DGE) is organizing an event hub at the center of the Global Industry Industry Fair in Paris Villepinet with the support of France IA and Neumium. : “AI Village”, which started on May 17 and will end on May 20 Germany and France, who launched an app on February 3, 2021 “Encourage the offer of artificial intelligence (AI) solutions for risk prevention, crisis management and resilience in 3 areas of application” Has announced funding of 17.5 million euros for five selected projects.
The event provides an opportunity for start-ups and large groups to reach out and present their initiatives and solutions around AI, with the goal of making AI the focal point of the digital transformation of industry and business in France, as well as AI’s position in Europe. Technology as the lever of productivity, operational excellence and growth.
A Promote a European initiative Concrete over AI;
A Enhancing AI use cases and raising awareness For industry and business;
A Create commercial combinations Within the company;
A Strengthening ties within the European AI ecosystem For industry through meetings and exchanges between companies, professionals and academics.
During these four days, five roundtables have been planned around the European regulations on AI, as well as the technological challenges of AI for industry, strategies for adopting trusted AI, as well as adoption by companies. Also, professional meetings have been set up to allow companies to establish business relationships.
The pitches were held in the France Pavilion where the five winning projects of the Franco-German AI project were also presented, with the aim of making our society more resilient in the face of various environmental, health or economic and industrial crises.
Winners of the Franco-German app
As part of the Ax-la-Chapel agreement signed in 2019, France and Germany have begun collaborating on AI and launched the call, bringing together 119 partners and submitting 25 projects, five selected ones thus receiving funding of 17.5 million euros.
Project AIOLOS Artificial intelligence tools for outbreak detection and response.
AIOLOS aims to integrate a variety of data sources and develop new AI-based models to monitor and detect the presence of new epidemics, predict their future development, evaluate the impact of various interventions, and define healthcare requirements for epidemic control.
Partners: Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung eV (GER), Umlaut Consulting GmbH (GER), CompuGroup Medical SE & Co. KGaA (GER), Quinten (FR), Sanofi Pasteur (FR).
Project Contrails – Conflicts in Climate Systems: Impact Modeling and Forecasting from Observation
The goal of this project is to develop and add reliable AI methods and physical models to improve the identification, characterization, data integration and prediction of controls. The results of this project will provide tools for monitoring the effects of conflict on climate and help inform future experimental experiments to optimize trajectories by preventing their formation.
Partners: Deutscher Wetterdienst (GER), Thales Research & Technology (FR), Reuniwatt SAS (FR), Atmosphere, Environment, Space Observatory (FR).
Project RenovAIte – Encourage the reform industry with AI.
RenovAlte will provide AI-based software for large-scale housing and road repairs. It will cover the entire value chain, from data acquisition to decision making tools for design offices, local authority housing and road management services.
Partners: OFFIS – Institut für Informatik (GER), VIA IMC GmbH (GER), Action Logement (FR), ALEIA (FR), Leonard (FR).
Project GreenBotAI – Economical and adaptive AI for flexible industrial robotics
The project has three main objectives:
- Ensuring continued production in Europe during the epidemic,
- Ensuring European sovereignty in the automation of production
- Reduce the environmental impact of European factories – reduce the energy costs of robotic applications by 50%.
These objectives must be achieved through the development of an intelligent system that allows industrial robots to adapt to production line requirements, handle complex and laborious tasks and thus improve working conditions, control errors while handling items and reduce installation. And training episodes.
Partners: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eV (GER), Hochschule München University of Applied Sciences (GER), GrAI Matter Labs SAS (FR), Arts et Métiers (ENSAM LIPSEN) (FR).