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Home > TERATEC FORUM > Workshops > Workshop 8
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TERATEC 2025 Forum |
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Energy challenges and sustainable solutions in high-performance computing and artificial intelligence
Chaired by Charles Huot, Development Manager, Eclairion and Victor Martin, Manager, R&D Digital Hub Paris-Saclay, TotalEnergies
Measuring the carbon footprint of artificial intelligence algorithms: A practical approach
By Gwenaëlle Berthier, project manager and Dimitra Politaki, Senior Research Engineer, IRT SystemX
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How to assess the environmental impact of digital systems? The Environmental Impact of Digital Technologies project (IEN Project - IRT SystemX) aims to create standardized tools and indicators for measuring the life-cycle impacts of technologies, to help organizations reduce their digital footprint.
How can we minimize the carbon footprint and effectively measure sustainability during the AI process? TotalEnergies' IEN use case focuses on assessing progress, recommending improvements and providing key performance indicators. The aim is to provide best practice in sustainability, and how can performance be compared with energy consumption?
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Biography: Gwenaëlle holds a PhD in modeling from the Université Pierre et Marie Curie (2007). She then completed several post-doctorates in France and abroad (mainly on modeling: intercomparison, feedback from numerical models). From 2014 to 2019, Gwenaëlle worked in a start-up working on index insurance, with a focus on quantifying climate risks. Her field of expertise covers digital models, data and data science in various application sectors. She will join the IRT in March 2019 as project manager for the SystemX IEN project. |
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Biography: Dimitra holds a PhD from Université Côte d'Azur (INRIA, 2019), focusing on computer science, with a specialization in the prediction of renewable solar energy and green data centers using artificial intelligence and stochastic models. She then played an active role in the management of European projects, notably in the field of energy systems (transport logistics) and digital twins. Her field of expertise covers artificial intelligence, stochastic and optimization models to support the development of sustainable and digital energy solutions. She joined SystemX in 2023, where she is currently working on AI's carbon footprint, life cycle assessment (LCA), environmental indicators (KPIs) and predictive battery maintenance. She pilots the use case carried by TotalEnergies as part of the IEN project, and contributes to the SystemX Digital twins for complex industrial systems program on the optimization of energy systems. |
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