Latest articles
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
Neolink: Lifelong pathway co-construction
While personal coach applications are now ubiquitous, personal lifelong pathway co-construction is largely overlooked, although present for e-learning, healthcare, return to employment, home-care of elders, etc. Modeling generic lifelong pathway co-construction is feasible since these situations share many properties. We contribute to the problematics with a generic model for the co-construction of lifelong pathways applicable
Yassine Bel Ghaddar Ph.D. thesis defense : “Data fusion for urban network mapping: application to wastewater networks”
Tuesday 13th of December at 9h30 a.m. Paris time, Yassine Bel Ghaddar, Ph.D. Candidate will defend his thesis named “Data fusion for urban network mapping: application to wastewater networks”. His thesis defense will take place at the conference room of the Faculty of science and technologies in Fez, Morocco. This thesis is a CIFRE-France-Morocco collaboration
Beginning of maintenance 4.0 project at SIAAP
SIAAP, the public reference for wastewater treatment in the Ile-de-France region, embarked in 2016 on the design of a long-term strategic plan: SIAAP 2030. It aims to implement a medium-term conditional and predictive maintenance strategy. Among the challenges pursued: improving the maintenance of its industrial equipment, in particular the real-time monitoring and diagnosis of critical
Solving optimization problem through the Domain-Specific Language based businesse rules modeler
BL.Optim is a research project of Berger-Levrault about planning management through optimization algorithm. However, the “constraints description” part in BL.Optim is supported by an API, which is extremely difficult to use to express new constraints. We want to replace the constraint descriptor by using a language more or less expressive, which allow us to easily
Berger-Levrault and CNRS sign a strategic partnership
We have been working for many years with the CNRS. Dozens of CIFRE theses and collaboration contracts have enabled us to explore a very wide range of potential in the fields of artificial intelligence, sustainable cities, advanced human-machine interaction, automatic language processing, etc. This relationship, which is dear to us, has enabled the group to
Active learning for intelligent document processing
Data is a key component of decision making. Today, companies deploy complex processes to automate the collection, storage and processing of large amounts of data. Most of this data is in the form of unstructured documents. Berger-Levrault’s software solutions handle documents of various natures: invoices, forms, etc. Unfortunately, this unstructured representation is difficult to exploit
What are Emergent Software Systems about?
Nowadays, due to the constant evolution of the software systems’ operating environment, modern software systems become increasingly complex and larger which makes their management and evolution difficult for a development team. These challenges pushed the IT (Information Technology) community to develop solutions that aim to assign the responsibilities of adaptation and decision-making to the software
BL.Assistant: Towards an Human-AI Teaming Platform
At work, you can have the best position ever (at least from your point-of-view), there are always boring and repetitive tasks to do that make you feel like you’re wasting your time. At Berger-Levrault, we aim to your life easier, that’s why we worked on BL.Assistant, a platform able to host AI-Based robots to assist
Towards measuring energy consumption of infrastructure architectural choices of web applications
Reducing our environmental footprint became a priority to save the planet. According to a recent Green IT study, the global environmental footprint of digital technology is equivalent to a continent two to three times the size of France and five times the weight of the French car fleet. Hardware manufacturers have been optimizing the efficiency
BL.OptiMAS: a Multi-Agent System-based model towards resolution of Routing and Scheduling Problem under uncertainties
Home care aims to provide appropriate health services to patients in the comfort of their home. This kind of services must be provided on a daily or weekly basis. To organize caregivers rounds, managers use predefined programs that specifies the cares services to be carried out, as well as the different resources allocated to each
IFIP/SOCOLNET – Hybrid Human-AI Collaborative Networks (Porto – Portugal)
La Mêlée Numérique – Artificial Revolutions (Toulouse – France)
29th International Conference on Theory and Practice of Digital Libraries – TPDL 2025 (Tampere – Finland)
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
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
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,
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
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
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
