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industrial maintenance

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 field, feedback from solutions such as CARL Source and CARL Optim, and the prospects opened

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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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Automatic Reconstruction of Sanitation Network

Underground networks are a direct consequence of urbanization. These networks are daily used to offer all the vital services : electricity, Internet, water, etc. However, the available data related to them in particular sanitation ones are various, and come in different types (texts, images, GIS etc.) and formats (analog, digital). In addition, these multisource/multi-format data are

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Analysis of user activity (traces) in software

The software for public services are always more complex as the regulation evolves constantly and the user requirement continues to refine. Thus, the quality of the software declines, making it more difficult to maintain and use. For example, some anomalies occurring in the production environment cannot be reproduced and therefore cannot be resolved. From the

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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

Read More »

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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Julien at EKAW 2024 for his work on extracting legal data from LLMs

On December 3, 2024 in Amsterdam, Julien Breton – Research Engineer at Berger-Levrault (Team BL.Research) took part in the EKAW 2024 (European Knowledge Acquisition Workshop) conference. His paper demonstrates how the alliance between large language models (LLMs) and software architectures can optimize data annotation: a consequent time and cost saving, and greater reliability for technical

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Benoit receives the Prix Science Ouverte 2024: Recognition of excellence and openness in Research at Berger-Levrault

In a world where science plays a crucial role in meeting economic, environmental and societal challenges, the notion of openness in research is taking on strategic importance. Organised by the Committee for Open Science (CoSO) and supported by the French Ministry of Higher Education and Research, the Open Science Awards embody this commitment by recognising

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Nicolas Ringuet Ph.D. thesis defense: “Modeling, Exploration, and Explainable Co-construction of Lifelong Pathways”

Thuesday 5th of November at 14h a.m. Paris time, Nicolas Ringet, Ph.D. Candidate has defended his thesis named “Modeling, Exploration, and Explainable Co-construction of Lifelong Pathways”. His thesis defense took place at the IUT in Blois, France. Take a look at the summary below : Summary This thesis explores the mechanisms of personalized support systems,

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