Yann FERGUSON

Nonlinear control, electric vehicles, complex dynamical systems, fault diagnosis, and intelligent energy systems — these are among the most pressing topics at the heart of today’s energy transition and sustainable mobility efforts. I'm pleased to share a collection of recently published volumes, the result of international scientific collaboration. These works address key challenges with both rigorous theoretical foundations and practical application insights: -Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion -Intelligent Control for Electric Power Systems and Electric Vehicles -Fault Diagnosis for Electric Power Systems and Electric Vehicles - Nonlinear Optimal and Flatness-based Control Methods and Applications for Complex Dynamical Systems - Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and Applications These books offer advanced theoretical tools and computational techniques applied to: Autonomous electric vehicles and dynamic propulsion control Intelligent fault diagnosis in power and transportation systems Nonlinear optimal control and modeling strategies Smart integration of automation, energy systems, and control theory This collection is a valuable resource for researchers, PhD students, and professionals working at the intersection of automation, smart energy, and intelligent mobility. A sincere thank you to Dr. Gerasimos Rigatos to have made this possible and for his commitment to advancing research in areas vital to sustainability and innovation. #ElectricVehicles #SmartGrids #NonlinearControl #EnergyTransition #IntelligentSystems #AutonomousVehicles #ControlTheory #AcademicResearch #SustainableMobility

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Extremely cool work by researchers at Ecole normale supérieure and Meta on understanding the representational similarity between human brains and AI models! More specifically, they trained DINOv3 self-supervised vision transformers of different sizes, with different training amounts, and different image types, and compare their representations to that of the human brain recorded with fMRI MEG. They found that size matters (largest models with the most human-centric images had the highest brain similarity scores), and during training the models first aligned with early representations of sensory cortices followed by alignment with late and prefrontal representations with a lot more training data. This is fascinating in not only better understanding deep neural networks but also can be a powerful tool for understanding the human brain. #meta #ecole #normale #superieure #research #understanding #brain #neuralnetwork #ai #model #similarity #ai #ml #dl #artificialintelligence #machinelearning #deeplearning #transformers #human #fmri #meg #cool #fascinating

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The boundary between fundamental research and industrial applications in quantum science has never been thinner. In today’s Le Monde opinion piece, Christophe Jurczak (Quantonation) joins Antoine Browaeys (CNRS), Loïc Henriet (Pasqal), and Nicolas Treps (Sorbonne Université) to advocate for stronger collaboration between academic labs and start-ups. Read here : https://lnkd.in/eAZ2w9_A Their message is clear: it is within this continuous dialogue between science and entrepreneurship that the most fertile innovation emerges – and where a solid quantum industry can be built, serving society and advancing technological leadership.

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ONLINE COURSE ON TURBULENT COMBUSTION - NEW RELEASE: Oct 20 to Dec 7 https://lnkd.in/eDjVUcKD This is the second announcement for the new edition of the online combustion course “Theoretical and numerical combustion” which will start on October 20th, 2025 and end on Dec 7th.   The course has been totally revisited with new visual tools and resources: https://lnkd.in/eDjVUcKD Information and registration are available here: https://lnkd.in/eejkVCBb The course will enable engineers and researchers to understand the physics of combustion and the various methods used to simulate it. It describes the theory and the tools used to simulate turbulent combustion.  The course is based on the textbook “Theoretical and numerical combustion” by Poinsot and Veynante (Electronic version here or paper version on Amazon here).  The participation requires two to three hours per week online. No a priori knowledge of combustion is needed but participants should have a minimum experience in fluid mechanics and/or CFD. A live session with all participants will take place at the beginning of the course to get to know each other and another live session will conclude the course to answer questions raised during the six weeks of formation and discuss the last news on hydrogen flames. The list of all SPOC courses given at CERFACS is here: https://lnkd.in/eFV7-Z43

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"Data and Computing Power: The New Frontiers of Competition in Generative AI" : new working paper authored with Thierry Warin (HEC Montréal, CIRANO) published in the GREDEG-CNRS, Université Côte d'Azur working papers series (thanks again to Patrice Bougette!) https://lnkd.in/d398psQr Digital markets are increasingly dominated by entities that leverage technical specificities such as network effects, economies of scale, and scope, as well as significant advantages in data access and critical infrastructure, including computing power and cloud capacities. The advent of generative artificial intelligence (AI) marks a potential inflection point in this landscape. In this context, the primary barriers to entry are no longer merely data and open source foundation models but the availability of large, high-quality datasets and substantial computing power. This paper examines whether these barriers will entrench the dominant positions of Big Tech companies or if they will catalyze a reshuffling of competitive dynamics. By focusing on the dual challenges of data and computing power, this study identifies the key factors that will shape the future competitive landscape of the generative AI industry. This article contributes to the ongoing debate in industrial economics and strategic management regarding the potentially disruptive effects of generative AI on the market power of Big Tech firms. Can this technological shift recalibrate competitive dynamics, or will it ultimately serve to entrench existing power structures? At its core, the article seeks to interrogate a prevailing narrative - namely, the notion that innovation inherently sustains competitive processes, even in the face of short-term lock-in effects. This working paper oriented toward competition policy concerns can be read in parallel with a second one published by the CIRANO insisting on international trade related dimensions Marty, F., & Warin, T. (2025). Territorial Control of Data and Compute in Generative AI: A New Paradigm of Competitive Advantage (2025s-27, Cahiers scientifiques, CIRANO.) https://lnkd.in/dBVxFPYw CNRS Côte d'Azur, Université Côte d’Azur

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Have you ever heard about injection-molding of cellulose?🌿 👉 We have the pleasure to share with you the work of Manon CADOUX, a #CelluloseValley engineering student who designed an injected cellulosic packaging part for a sustainable 3D-packaging industry during 6 months. ⬇️ More info in the comments #Cellulose #Internship #Grenoble #Science #Sustainable Fondation Grenoble INP ; Grenoble INP-Pagora ; LGP2; Université Grenoble Alpes ; CNRS. CNRS Délégation Rhône Auvergne ; ENSICAEN - Enseignement, Formation et Recherche. Ecole publique d'Ingénieurs et Centre de Recherche.

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“𝘐𝘧 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵𝘴 𝘥𝘰 𝘯𝘰𝘵 𝘵𝘢𝘬𝘦 𝘵𝘩𝘦𝘪𝘳 𝘱𝘭𝘢𝘤𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘱𝘶𝘣𝘭𝘪𝘤 𝘥𝘦𝘣𝘢𝘵𝘦, 𝘰𝘵𝘩𝘦𝘳𝘴 𝘸𝘪𝘭𝘭, 𝘸𝘩𝘰 𝘮𝘢𝘺 𝘣𝘦 𝘭𝘦𝘴𝘴 𝘪𝘯𝘧𝘰𝘳𝘮𝘦𝘥, 𝘭𝘦𝘴𝘴 𝘳𝘪𝘨𝘰𝘳𝘰𝘶𝘴, 𝘢𝘯𝘥 𝘥𝘳𝘪𝘷𝘦𝘯 𝘣𝘺 𝘮𝘰𝘵𝘪𝘷𝘦𝘴 𝘰𝘵𝘩𝘦𝘳 𝘵𝘩𝘢𝘯 𝘵𝘩𝘦 𝘱𝘶𝘣𝘭𝘪𝘤 𝘴𝘩𝘢𝘳𝘪𝘯𝘨 𝘰𝘧 𝘴𝘤𝘪𝘦𝘯𝘵𝘪𝘧𝘪𝘤𝘢𝘭𝘭𝘺 𝘨𝘳𝘰𝘶𝘯𝘥𝘦𝘥 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦.” 🧠 The CNRS has just released a practical toolbox for researchers who want to share their expertise beyond the lab. This guide to public speaking supports scientists in making research-based knowledge accessible to all, including through media engagement. It draws on the CNRS Ethics Committee’s recommendations and reflects the views of the scientific community, gathered through a major internal survey conducted in March 2024. One in five of the CNRS’s 28,000 scientists took part. 📊 🔹 80% believe that developing a framework for public expression should be a priority 🔹 83% agree that speaking out publicly has a positive impact on society   🔎 This could be especially relevant to my former colleagues. Florence Belaen, Isabelle BONARDI, Armelle Bozok, Pauline Bryère, Patricia LAMY, Samuel Belaud #SciComm

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