Coriolis seminars

The 2025-2026 season for the Coriolis seminars is about to begin!

This year, the seminars of the Energy: Research and Innovation cycle will share a silverline on the opportunities and challenges raised by AI in the energy sector.
We hear often about these topics, but seldom have the opportunity to go in depth, or beyond very basic arguments. 
With these seminars, we aim at collecting and confronting a diversity of perspectives from academic, industrial and institutional stake holders.
Some talks will present case study of AI use for energy applications, other will share points of attention regarding the ever increasing deployment of this technology
It will also help understanding which issues are really specific to AI, and which are simply brought back to the limelight or amplified by AI, but already existed before the recent upsurge.

PROGRAM 2025-2026 

2/10/2025
18h
Ecole polytechnique, Amphi Faurre
Siddharth Singh
International Energy Agency 
Energy for AI and AI for Energy
(IEA special report)
6/11/2025
18h
Ecole polytechnique, Amphi Faurre
Soizic Pénicaud
Sciences Po Paris, Observatoire des algorithmes publics
Enjeux sociaux et sociétaux (provisional)
27/11/2025
18h
Ecole polytechnique, Amphi Becquerel
Grégory Lebourg
Global Environmental Director - OVHcloud
AI impact on the environnent : from projections to remedies.
11/12/2025
18h
Ecole polytechnique, Amphi Faurre
Nicolas Broutin
Agence nationale de la sécurité des systèmes d'information ANSSI
Cybersecurity of energy infrastructures (provisional)
08/01/2026
18h
Ecole polytechnique, Amphi Faurre
Yannick Jacquemart
Directeur Transformation de l’Exploitation du Système électrique et Intégration des Flexibilités - RTE
AI for the electrical grid (provisional)
29/01/2026
18h
Ecole polytechnique, Amphi Faurre
Vincent Renault
Directeur R&D, Artelys
Trusted-AI implementation to support operators in the energy transition 
19/02/2026
18h
Ecole polytechnique, Amphi Faurre
Pierre Jean Alet
Group leader at ETIP PV, Digital energy solutions leader at CSEM 
AI for renewable power production (provisional)