Latest articles
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
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
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
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
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
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
Automate the discovery of anomalous behaviour with unsupervised anomaly detection
Unsupervised anomaly detection makes it possible to automate tasks relating to the maintenance of equipment and infrastructure, which until now have been carried out by experts. One of the features of the BL.Predict equipment management platform is the ability to manually define alert thresholds so that you are warned when the systems being monitored break
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,
8 Essential Guidelines for Creating a Successful Human-AI Experience
In today’s world, whether we are interacting with AI systems for the first time or the hundredth, these tools are designed to provide us with a smooth and effortless user experience. The goal is for users to naturally understand and navigate the tool with ease. This means users must identify what AI can and cannot
TriPad: Touch Input in Augmented Reality on Ordinary Surfaces with Hand Tracking Only
What is Augmented Reality? Augmented Reality (AR) is the superimposition of digital information within the user’s environment in real time. In AR, users experience their real-world environment with digital elements like images, sounds, or other data overlaid on top of it. Augmented Reality finds applications across diverse fields including education, healthcare, maintenance, entertainment, etc… To
Camille Gosset Ph.D. thesis defense: “Methods and Models for the Automated Construction of Knowledge Graphs in the Legal Domain: Application to the Legal and Legal-Practical Resources of Local and Regional Authorities”
Thursday 26th of September at 10h a.m. Paris time, Camille Gosset, Ph.D. Candidate has defended her thesis named “Methods and Models for the Automated Construction of Knowledge Graphs in the Legal Domain: Application to the Legal and Legal-Practical Resources of Local and Regional Authorities”. Her thesis defense took place at the LIRM (Laboratory of Computer
20th International Conference on Software Technologies – ICSOFT 2025 (Spain)
CIFRE Strategic orientation committee x ANRT (Paris – France)
Regional morning: Transforming maintenance into a profit center x Swarm itc and AFIM (Charbonnières Les Bains – France)
9th International Workshop on Green and Sustainable Software – GREENS’25 (Ottawa – Canada)
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
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
Clément talks at BIM World 2025 on the future of augmented maintenance using BIM models
At BIM World 2025, held in Paris on April 2-3, Clément Colin, our research engineer in BL Research team, spoke at a workshop dedicated to Digital Twins, alongside Laurent Truscello, Product Marketing Manager at Carl Berger-Levrault. The theme of their talk: “GEM & GMAO – Valuing and increasing the use of your BIM models for
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,
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
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
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
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,
