Table of Contents
🧠 Traditional vs. AI-Generated Meteorological Risks for Emergency Predictions | SIRRI Naoufal, UMR6174 Institut Franche Comté Électronique Mécanique Thermique et Optique Sciences et Technologies (FEMTO-ST), Besançon, France. | Frontiers
Abstract: This study aims to analyze and examine in-depth the feature selection process using Large Language Models (LLMs) to optimize firefighter prediction performance. Although features from reliable sources are known to significantly aid predictions, their accuracy may be limited in critical situations requiring rigorous prioritization. Therefore, the focus was placed on meteorological risks for a comparative diagnosis between their extraction from M ét éo France and those generated by LLMs across various dimensions.
🧠 How AI Affects the Pragmatic Function in Media Discourse: A French Press Perspective | Al-Muhaissen, Batoul & Al-Hammouri, Samer & Rachdan, Kossay & Habes, Mohammed. (2024). 7. 369-380. 10.30564/fls.v7i1.7800. Article
Abstract: This study examines the impact of artificial intelligence on the pragmatic function of the French press, by analyzing the role of this advanced technology in changing the methods of collecting, editing, and analyzing news. This research aimed to comprehend the role and effect of artificial intelligence technology on news media practices in France, the quality of content, and the prevailing challenges.
🧠 Innovation in the Artificial Intelligence sector: An exploratory study of the structure of co-inventor networks | Lantz, Jean-Sébastien, Lacaze, Delphine, Braune, Eric and Sahut, Jean-Michel Management international / International Management / Gestiòn Internacional 28, no. 6 (2024): 101–114. https://doi.org/10.59876/a-es2g-vy4a
Abstract: Through an analysis of the global co-inventor networks of the 30 most innovative companies in Artificial Intelligence (AI), this research provides three key contributions: 1) the two dimensions of co-inventor networks: “encapsulation of information and knowledge,” concerning the overall network structure, and “accessibility to information and knowledge,” related to the inventor’s position within the network; 2) geographic location influences the structure of these networks; 3) the most innovative companies strategically choose between these dimensions in a global competitive context. These findings reignite the debate on the importance of connectivity and central positioning versus brokerage to achieve high levels of patent production in AI.
🧠 Football Selection Optimization through the Integration of Management Theories, AI, and Multi-criteria Decision Making | Roukaya Ben Jeddou. Football Selection Optimization through the Integration of Management Theories, AI and Multi-criteria Decision Making. Business administration. Université Bourgogne Franche-Comté, 2024. Article
Abstract: The research outlined in this thesis falls within the context of professional football club management, where establishing a balance between human and financial aspects is essential for the long-term viability of sports organizations. In football management, the traditional methods of player selection have historically guided decision-making processes within clubs. This strategic decision-making process, which is often subjective and uncertain, can have a significant impact on the club’s financial, economic, and sporting situation.
🧠 Multiscale Modelling, Artificial Intelligence and Materials Informatics | Dominguez, J., Lindroos, M., Papanikolaou, S., Oksa, M., & Järvenpää, J. (2024). ATS Ydintekniikka, 53(4), 22-26. https://bin.yhdistysavain.fi/1608821/Hk8OJiHcEk5Ouc8t9VUO0bO3jz/ATS%20Ydintekniikka_4-2024.pdf
Abstract: The NOMATEN Centre of Excellence (CoE) in collaboration with VTT and CEA, France, performs research and development on materials modeling for the nuclear field. This article presents the focus areas, examples of the latest work, and benefits for the industry and research cooperation.
🧠 Advancing High-Throughput Cellular Atomic Force Microscopy with Automation and Artificial Intelligence | Ophélie Thomas- -Chemin, Sébastien Janel, Zeyd Boumehdi, Childérick Séverac, Emmanuelle Trevisiol, Etienne Dague, and Vincent DuprésACS Nano Article ASAP DOI: 10.1021/acsnano.4c07729
Abstract: Atomic force microscopy (AFM) has reached a significant level of maturity in biology, demonstrated by the diversity of modes for obtaining not only topographical images but also insightful mechanical and adhesion data by performing force measurements on delicate samples with a controlled environment (e.g., liquid, temperature, pH). Numerous studies have applied AFM to describe biological phenomena at the molecular and cellular scales, and even on tissues. Despite these advances, AFM is not established as a diagnostic tool in the biomedical field. This article describes the reasons for this gap, focusing on one of the main weaknesses of bio-AFM: its low data throughput. We review current efforts to improve the automation of AFM measurements in particular on living cells, as well as the developments in automating data analysis. For the latter, artificial intelligence (AI) is progressively employed to classify data to distinguish healthy and diseased cells or tissues. Finally, we propose a roadmap to foster the application of bio-AFM into medical diagnostics.
🧠 Artificial Intelligence. The Role of Governments in the Face of Digital Giants | Bensamoun, Alexandra "L’intelligence artificielle. Le rôle des États face aux géants numériques". Lex Electronica 29, no. 4 (2024) : 38–42. https://doi.org/10.7202/1115125ar
🧠 Paris 2024 Olympics: A Review of Innovation, Performance and Challenges | Andreea, Voinea & Adrian, Iacobini & Dominteanu, Teodora. (2025). Paris 2024 Olympics: A Review of Innovation, Performance and Challenges. MARATHON. Article
Abstract: The Paris 2024 Olympics marked the third time France hosted the Games, strongly emphasizing sustainability, technological innovation, and gender equality. Artificial Intelligence (AI) played a key role in event security, athlete performance analysis, and enhancing the fan experience. Significant efforts were made to make these the "greenest" Games in history, with most equipment rented and venues powered by renewable energy. The Games were not without controversy, with incidents including the misrepresentation of South
Korea at the opening ceremony, doping scandals, and disputed results in gymnastics and boxing. Despite these challenges, the Games witnessed record-breaking performances and the debut of breakdancing as a new Olympic sport.
🧠 Health Data: Exploring Emerging Privacy Enhancing Mechanisms | Thomas Lebrun. Health Data: Exploring Emerging Privacy Enhancing Mechanisms. Computer Science [cs]. Insa Lyon, 2024. English. NNT. https://hal.science/tel-04874777v1
Abstract: Health data represents a large volume of information, generated daily and sensitive by nature. However, sharing this data is essential for advancing research and, ultimately, improving patient care. The use of medical data faces limitations due to its sensitivity and the need to ensure confidentiality, which is governed by current regulations. This necessitates enhanced protection. Interest in alternatives to sharing raw data, such as pseudonymization or anonymization, is
increasing alongside the growing need for access to training data for the use of artificial intelligence, which requires large amounts of data to function effectively as a medical assistant.
🧠 "Adapting to Industry 4.0 in France: Essential Competencies for a Future-Ready Workforce" |Turcato, Cristina Rodrigues Piazer, Bruno Pedroso, Maik Arnold, and Claudia Tania Picinin. 2024. Administrative Sciences 14, no. 12: 322. https://doi.org/10.3390/admsci14120322
Abstract: "This paper identifies skills required for workers in Industry 4.0 in France and provides insights to guide the development of a future research agenda. The research draws on a bibliometric analysis of 80 papers, mapping the technical and interpersonal skills needed for professionals to adapt and thrive in the evolving industrial landscape. The results highlight the importance of a multidisciplinary approach integrating competencies in information technology, automation, robotics, artificial intelligence, data analysis, project management, interpersonal skills, adaptability, and collaboration."
🧠 "Unleashing ChatGPT: Redefining Technology Acceptance and Digital Transformation in Higher Education" | Mourtajji, Loubna, and Nathalie Arts-Chiss. 2024. Administrative Sciences 14, no. 12: 325. https://doi.org/10.3390/admsci14120325
Abstract: "The research takes as its conceptual framework models of technology acceptance and questions the relevance of these models to the acceptance and adoption of ChatGPT. A qualitative study carried out with teachers from various higher education establishments in France enables us to propose a model adapted to the specific features of generative AI. The ethical dimension and the controllability of the tools by users, made possible by a progressive training program, are two constructions that are essential to a proper understanding of whether or not these new tools are adopted."
🧠 "Comparing performances of French orthopedic surgery residents with the artificial intelligence ChatGPT-4/4o in the French diploma exams of orthopedic and trauma surgery." | Nabih Maraqa, Ramy Samargandi, Antoine Poichotte, Julien Berhouet, Rayane Benhenneda.| Orthopaedics & Traumatology: Surgery & Research, 2024, 104080, ISSN 1877-0568,
https://doi.org/10.1016/j.otsr.2024.104080.
Abstract: "This study evaluates the performance of ChatGPT, particularly its versions 4 and 4o, in answering questions from the French orthopedic and trauma surgery exam (Diplôme d’Études Spécialisées, DES), compared to the results of French orthopedic surgery residents. The score achieved by ChatGPT-4o was equivalent to that of residents over the past five years: 74.8% for ChatGPT-4o vs. 70.8% for residents (p = 0.32). The accuracy rate of ChatGPT was significantly higher in its latest version 4o compared to version 4 (58.8%, p = 0.0001). The performance of ChatGPT-4o is equivalent to that of French students in answering questions from the DES in orthopedic and trauma surgery. Significant progress has been observed between versions 4 and 4o."
🧠 Aurélien Pellet, Julien Perez, Marie Puren. Generative Artificial Intelligence and Historical Research: Challenges, Potentials, and Limitations. Application of RAG to French Parliamentary Debates of the Third Republic (1881-1940). A Conversation between AI and the Humanities, Nov 2024, Lyon, France. https://hal.science/hal-04832663/document
Abstract: "This work focuses on the analysis of the debates of Parliamentarians of the Third Republic (1870-1940), using recent advances in generative text models based on the search for information. Our goal is to assess the capacities and limitations of this approach to model and query this vast textual corpus, so as to better understand complex issues such as politics, the real-life of the
as well as the factors influencing legislative decision-making. In combination with automatic extraction techniques information and generative models, our
aim is to structure the debates, while ensuring the traceability of sources.
