Latest articles
From Generic to Domain-Smart: Tailoring Embeddings for High-Performance Business Search
1. Strategic Context and Challenges Modern answer engines look simple from the outside: a user asks a question, and the system returns a grounded answer. But before the language model can write anything useful, the system must first retrieve the right sources from the enterprise knowledge base. If the right sources are not selected, the answer engine is already limited, no matter how powerful the language model is. In most
BL.Predict New architecture: more security, confidentiality, availability and performance!
In the constantly evolving field of the Internet of Things, BL.Predict is continually striving to push back the boundaries to offer its customers innovative and reliable solutions. At the heart of this ambition is the transition from BL.Predict’s V1 to V2 architecture, a crucial step in our commitment to provide state-of-the-art platforms adapted to current
Webinar IA x Maintenance: Explore the benefits of AI applied to CMMS!
Discover our new Webinar: Explore the benefits of AI applied to CMMS! On Thursday, September 19 – 10:30 am to 11:30 Christophe Bortolaso, Applied Research Manager de l’équipe BL Research (DRIT) and his colleague Laurent Truscello, Product & Innovations Manager (CARL Berger-Levrault), invites you to take part in the Webinar “Explore the benefits of artificial
Enhancing Prompt Engineering using Model-Driven Engineering Techniques
In the fascinating field of artificial intelligence, an important discipline is emerging: “Prompt Engineering“. In a time where machines possess the ability to understand and generate text and code, focusing on prompt engineering becomes crucial to enhance the effectiveness and significance of interactions between humans and AI models specifically Large Language Models (LLMs). While many
Best Paper Award to Gabriel: Modest-Pharo, a collaborative work between Berger-Levrault & Inria
Gabriel Darbord started his Ph.D. two years ago in the Evref team at Inria, a joint project team with Berger-Levrault, supervised by Anne Etien (Pr.) and Nicolas Anquetil (MCF). His thesis focuses on the area of test generation, an essential component in the software development lifecycle. His research work is in partnership between: University of
Integrating 3D geospatial data
Being able to create unified views of all kinds of geospatial data (2D, 3D, and semantic data) from the BIM and CIM domains is essential for decision-making in urban development projects and in a CMMS context. Our objective is to provide users with integrated and navigable views of available representation of urban objects through a
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization
The extensive use of Large Language Models (LLMs) for summarization tasks brings new challenges. One of the most important is related to the LLMs’ tendency to generate hallucinations, i.e., texts that give the impression of being fluid and natural, despite their lack of fidelity and nonsensical nature. Hallucinations can be factual: a source of knowledge,
Clément Colin Ph.D. thesis defense : “Multi-scale geospatial data management and visualisation applied for CMMS”
Tuesday 18th of June at 10h a.m. Paris time, Clément Colin, Ph.D. Candidate has defended his thesis named “Multi-scale geospatial data management and visualisation applied for CMMS”. His thesis defense took place at the conference room of the Faculty “IUT Lumière Lyon 2” in Villeurbanne, France. Take a look at the summary below : Summary
Extracting services from legacy software system
Let’s explore together the recent poster created by Soufyane Labsari and published about extracting services from legacy software systems. This work is done in collaboration with Inria.
Improved comment generation by LLMs
In the world of programming, creating efficient and functional software is a top priority, but it’s not just about writing lines of code. An essential part of the software development process is documentation, which includes the creation of explanatory comments that help to understand the operation and logic of the source code. However, writing these
Federated Learning, the security asset for local maintenance of your data
Predictive maintenance, coupled with the Internet of Things (IoT) and Artificial Intelligence (AI), represents a revolutionary approach to equipment maintenance. Traditionally, maintenance has been performed on a fixed schedule or in response to failures, leading to inefficiencies and downtime. Predictive maintenance aims to address these shortcomings by leveraging IoT sensors and AI algorithms to predict
52nd Euromicro Conference on Software Engineering and Advanced Applications – SEAA 2026 (Krakow – Poland)
Franco-German Dialogue Among AI Industry Leaders (Paris – France)
PMS 2026 – 34th International Conference on Program Comprehension (Toulouse – France)
ICPC – 34th International Conference on Program Comprehension (Rio de Janeiro – Brazil)
CHI 2026 – International conference on Human-Computer Interaction (Barcelona – Spain)
Sophie de Thoré guest on Pari ETI on BFM Business: Innovation, Growth and Digital Transformation
The digital transformation of public and private organisations, business resilience in the face of economic change, and responsible innovation were the focus of discussions on the Pari ETI programme broadcast on BFM Business. On this occasion, Sophie de Thoré spoke on behalf of Berger-Levrault, alongside Jérôme de Lavergnolle (Saint Louis), Jean-Luc Gunéard (LPR) and Augustin
A New Milestone in Building a European AI Ecosystem for Industry
Last Friday marked a significant step forward for the European ecosystem of artificial intelligence applied to industry. After more than a year of close collaboration, the report resulting from the Franco-German dialogue on industrial AI was officially presented to French and German authorities during a dedicated forum held at the Ministry of Economy. This initiative,
Yearbook Research & Innovation 2025: Governed, Responsible, and reality-based Research!
We are proud to announce the publication of our 2025 Research & Innovation Yearbook! More than just an annual review, this document marks a structural shift in the way we design and conduct research. Innovation is no longer seen as a simple technological promise, but as a demanding discipline, confronted with the constraints of reality
Camille Dupré Ph.D. thesis defense: “Pad-based Interaction in Mixed Reality environments”
Thursday 18th December at 2p.m. Paris time, Camille Dupré, Ph.D. Candidate has defended her thesis named “Pad-based Interaction in Mixed Reality environments”. Her thesis defense took place at the LISN, in Gif-sur-Yvette (660 Av. des Sciences Bâtiment, 91190), France. Take a look at the summary below. Summary Mixed Reality (MR) environments integrate virtual elements into
Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”
Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”. Her thesis defense took place at the IRIT Research Laboratory, in Toulouse, France. Take a look at the summary below. Summary Legal monitoring is a
Gabriel Darbord Ph.D. thesis defense: “Automatic test generation to help modernize our applications”
Friday 5th December at 9a.m. Paris time, Gabriel Darbord, Ph.D. Candidate has defended his thesis named “Automatic test generation to help modernize our applications”. His thesis defense took place in Lille, France. Take a look at the summary below. This thesis is fully in line with the partnership between Berger-Levrault and Inria, which aims to
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
