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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, industry 4.0 Summary In industry, equipment failures can lead to prolonged downtimes and significant financial

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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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The legal impact of digitalisation of administration on public services

The digital transformation does not only concern the private sector, even though it’s frequently described as more innovative. From computerisation of public administration in the 60’ to the latest applications of artificial intelligence by territorial authorities, public action seems more and more digitalised (and still “in digitalisation”). Therefore, this public action in practice resulting in

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🇫🇷 L’IA au service des collectivités locales

https://www.research-bl.com/wp-content/uploads/2019/08/frigg-1-online-video-cutter.com_.mp4 En France, les collectivités se différencient selon plusieurs caractéristiques telles que les budgets qu’elles utilisent au cours d’une année, les investissements qu’elles opèrent et enfin les dettes qu’elles contractent. Le but étant d’apporter une aide aux collectivités locales en développant un modèle capable d’apporter une aide à la prise de décision en leur permettant

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🇫🇷 Hermès Démo

CONTEXTE Les documents des marchés publics manifestent une hétérogénéité importante et des similarités trompeuses. Autrement dit, ces documents contiennent généralement des informations typiques comme le nom de l’organisme public, son code SIRET, sa géolocalisation, des dates, les critères et les modalités de choix des candidats, etc. Toutefois, ces informations sont généralement présentées sans aucun format

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Blockchain for interoperability

Interoperability is the possibility for different systems to communicate with each other without depending on a particular actor. It is based on the use of an open standard Context The sharing of data between information systems (IS) becomes essential to ensure communication between these IS. This exchange has consequences of compatibility (because of heterogeneous data

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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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New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies

How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the

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New White Paper – Agentic AI, a Software and Societal Revolution!

Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its

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From the Iberian sun to the Rising sun for federated learning

On September 2024, we had the opportunity to attend two international conferences related to a segment of our work in artificial intelligence : Data Training Without Perturbative Adjustments for Predictive Maintenance The FLTA24 took place from September 17 to 19 in Valencia, Spain. As part of this research, we studied a concrete case: predictive maintenance,

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Discover our 2024 Research & Innovation Yearbook!

We are delighted to present the first edition of the Research and Innovation Yearbook. This annual retrospective reflects the commitment and ambition of our Research and Technological Innovation Department at Berger-Levrault (also available in French and Spanish versions below). By highlighting our most audacious projects and innovative initiatives, we hope to share with you the

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