Explore our projects & studies
Explore our projects & studies
From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.
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
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
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
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
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
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
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
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
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
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,
