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GitHub Copilot in an R&D Context: Experimentation Feedback and Usage Analysis

After nearly a year of daily use of GitHub Copilot in a software research and development context, here is a feedback report based on my real-world experience. I work as a full-stack developer on projects involving Python, TypeScript (Angular), as well as more transversal topics such as documentation, configuration, and DevOps. Over the months, GitHub Copilot has established itself as a tool that is both powerful and imperfect. It has

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AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor

Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and CARL/Berger-Levrault R&D teams have been working together for several months. CARL/Berger-Levrault is a European leader in equipment management (CMMS/EAM) and technical asset management, while Adeunis is a specialist in radio IoT solutions. These two entities

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🇫🇷 Semantic Search for Actes Office

Démonstration: L’Intelligence Artificielle et la Recherche d’Information au service de BL.ActesOffice Le module présenté dans cette démonstration permet de rechercher des documents sur une partie de la base d’ActesOffice en se basant sur des techniques appartenant au domaine de l’intelligence artificielle (IA), du traitement automatique des langues (TAL) et de la recherche d’Information (RI). Ces

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Automatic software migration: Business/services

Mono2Micro: From Monolithic Software to Versatile Microservices Over the past decade, there has been a significant paradigm shift towards cloud computing and web services. As organizations try to keep up with the latest trends, there has been a demand for shifting legacy systems to the Cloud. The microservice-oriented architecture (MSA) is a recent architectural style that has

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Automatic Detection of Anomalies in systems behaviors

Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the sensors signals can be unreliable

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🇫🇷 Detection d’erreurs par Intelligence Artificielle dans les fiches de paie

Démonstration: L’Intelligence Artificielle au service de la Paie Le module présenté dans cette démonstration permet de détecter des anomalies liées aux fiches de paie et cela grâce à un modèle d’apprentissage automatique (Machine Learning).Un échantillon d’une base existante peut être chargé par défaut. La possibilité de charger une nouvelle base depuis un fichier CSV est

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BL.SenseLife: Healthy Ageing Co-Design and Management Platform

Healthy ageing is “the process of developing and maintaining the functional ability that enables well-being in older age” (WHO, 2015). Frailty is a clinical and a social syndrome relative to ageing. In medical context, frailty characterizes an intermediate state between robust health and the loss of autonomy. It points the beginning of the decline in

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Camille Dupré Ph.D. thesis defense: “Pad-based Interaction in Mixed Reality environments”

Thursday 18th December at 2p.m. Paris time, Camille Dupré, Ph.D. Candidate has defended her thesis named “Pad-based Interaction in Mixed Reality environments”. Her thesis defense took place at the LISN, in Gif-sur-Yvette (660 Av. des Sciences Bâtiment, 91190), France. Take a look at the summary below. Summary Mixed Reality (MR) environments integrate virtual elements into

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Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”

Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”. Her thesis defense took place at the IRIT Research Laboratory, in Toulouse, France. Take a look at the summary below. Summary Legal monitoring is a

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Berger-Levrault strengthens its ties with AI startups!

We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the

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Celebrating New PhDs from the BL.Research Team!

At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of

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Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”

Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,

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ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!

Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software

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Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”

Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large

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