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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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BL.SenseLife MVP

A Minimum Viable Product (MVP) is a first version of a new product with enough features to address the most important needs of users and customers, who can next provide feedback for future evolutions. It is basically the first implementation of an idea into a deployable and marketable solution with its mains functionalities.  We have

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Casino, a tool to migrate applications

For five years now, our team is working on the preparation to migrate Berger-Levrault’s apps. To ease framework’s transition to new standards, we created Casino. A homemade tool to assist in future migrations. Casino, what’s that? It’s an innovative tool to simplify the migration process by automatically transforming apps code. We explain below the four

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Back on SemEval 16th edition task n°8

Find about our work on SemEval task n°1: reverse dictionary SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each

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Back on SemEval 16th edition task n°1

SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each year’s workshop features a collection of shared tasks in which

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Neolink: Lifelong pathway recommendation model

Find information about the project’s challenges by following this link. Neolink is a company created in 2012 which developed solution to encourage the internet that brings together. Its main objective is to unify economic activity and social utility in its solutions. The company has been bought by Berger-Levrault in 2019. Social services are notoriously complex

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Wi-Filles Project

Wi-filles is an induction programme to promote digital occupations to teenager girls. If we look at figures, there are only 21,5% of women workers in this area and only 20% in digital studies field. That’s why, the FACE foundation started the Wi-Filles project in 2014. The goal of the project is to encourage young girls

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Neolink: Lifelong pathway recommendation challenges

Neolink is a company created in 2012 which developed solution to encourage the internet that brings together. Its main objective is to unify economic activity and social utility in its solutions. The company has been bought by Berger-Levrault in 2019. Social services are notoriously complex to model and manage. It is essential to turn to

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3D Big data in modern city. Abstract social information sorting visualization. Human connections or urban financial structure analysis. Complex geospatial data. Visual information complexity.

Equipment 3D visualization in a CMMS application-1st part

Computer-aided maintenance systems aim at assisting administration and maintenance agents in their missions of assets maintenance (building, network, air conditioning, faucets, etc). Assets may have different representations in different geospatial data sources (2D or 3D) that can help to have a better understanding of them by providing new information. Though, using those data often leads

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Mono2Micro-MDE : An end-to-end approach towards migrating a monolithic application towards a microservice-oriented architecture

Find the first migration approach in these articles: article 1 & article 2 In this section, we introduce a broad overview of the different phases which constitute our global MDE-based migration workflow. In short, our workflow (see Figure 1) encompasses 4 important steps : Extracting a model from the source application. Identifying the application’s candidate

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Image analysis for Maintenance intervention request classification

Technologies and systems for automation of maintenance tasks and equipment management are used in several cases of different business fields like security or food-processing industry for instance. The technologies used have reached a maturation stage allowing their use in real case, according to practical application specificity. However, it remains uncertainties about developing an approach allowing

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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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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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