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Robot on mobil phone

Explanation of the Coruscant Mobile project

This research is the result of a collaboration between Ali Can Kocabiyikoglu, Pascal Zaragoza, and Vincent Laval, part of the AI Laboratory | BL Research Team. The Challenge of Modern Maintenance Support A maintenance technician faces an unfamiliar “Error 20” on a medical device. Their hands are busy with tools, eyes on the equipment, yet they need to access repair documentation. This scenario highlights a fundamental problem: traditional maintenance support—paper

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Home care assistance

Some Berger-Levrault Living Lab Uses Cases: a Valuable Tool to Understand Users in Real Situations

This article by Valérie follows on from a previous one describing the innovative Living Lab set up at Berger-Levrault. As a reminder, this innovative, user-centered approach aims to optimize the development of appropriate, useful solutions that respond directly to the real needs and challenges encountered in the field by customers and users of our software.

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3D vizualisation

Exploiting knowledge of BIM data : A MEP network topology detection method using geometry and spatial knowledge graph technologies

The integration of BIM data into CMMS for asset management and maintenance is becoming increasingly widespread and accessible. Among the standardized data models used in the built asset industry, IFC (Information For Construction) remains the most widely adopted open format within the BIM domain. It facilitates the creation of digital twins of buildings, combining semantic

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programming developers

Automatic Merge Request reviewer with AutoCodeReview

Article co-authored by : Kilian Bauvent (Lead engineer), Benoit Verhaeghe (Project manager and Techn Lead), Marius Pingaud (Developer on BL.CodeRules and diagram designer), Nicolas Hlad (Blog post author and survey designer) On the importance of Merge Requests The overall Merge request Process at Berge-Levrault Let us start by giving the big picture. At Berger-Levrault, developers

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living lab experience

Experimenting with Innovation in Real-Life Situations: the Key to User-Centered Co-Design

Key words: Innovation – Living Lab – User-centered co-design – Real-life situation – Human and Social Science – Safety – Market launch Innovation at the heart of Berger-Levrault’s strategy A long tradition Innovation is not simply the emergence of new ideas, but their effective implementation to meet the challenges of an ever-changing world. At Berger-Levrault,

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data library

Automatic Evaluation of LLM and RAG: Foundations and Established Methods

In professional environments, an increasing number of companies are integrating Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) solutions to automate specific tasks or support their teams. However, ensuring the accuracy and relevance of these systems’ responses is critical, particularly when handling sensitive data or high-stakes business decisions. Evaluating these models requires a rigorous approach,

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Paysage au Japon

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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Yearbook Research and Innovation

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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Green Technologies

You can not avoid it! — measuring the energy consumption of software systems has become essential

Measuring the consumption of software systems is becoming increasingly important for industries. Software systems accounted for 6% of the world’s energy in 2019, surpassing civil aviation for gas emissions. Governments and European administrations must consider software energy consumption when selecting products to reduce the ecological impact. Thus, it becomes essential to measure the energy consumption

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secrétaire de mairie travaillant sur ordinateur

WeMagnus intelligent assistant: digital innovation for City Hall General Secretaries

As a management platform dedicated to local authorities, Berger-Levrault’s WeMagnus software stands out for solutions based on the latest advances in artificial intelligence (AI) and automated information processing. This new Intelligent Assistant offers users precise, contextualized support. But how was this tool designed? What technologies does it embody? What are its specific features? Designed as

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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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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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