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chart work edition

Making Large Numbers Count: Cognitively Informed Alternatives to Log-Scale Bar Charts 

From carbon emissions to national budgets, we’re frequently asked to interpret values that span from thousands to millions and billions. These wide ranges—what we call Orders of Magnitude Values (OMVs)—are cognitively demanding for the general public and hard to represent with common charts. So, how can we make sense of large numbers in order to promote understanding of complex data among the general public? Below, we present the findings from

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Robustness & Management of Uncertainty in planning

Context The aging population and increasing life expectancy, as we can see today in France and in other developed countries, lead to an increase in the number of the elderly with loss of autonomy and in dangers caused by frailty. In particular, they suffer from chronic diseases with a long-term need for assistance. They largely

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Digital trust

We speak about Trust, digital trust and the reason why its’ important for the company and the future. No apprehesion, fear when we put the data on paper (forms, books). Process by continous support. Recent period, software company. BL software company. Trust was not so far : whitout many links with the ecosystem. Security only,

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Software interoperability

Interoperability Assessment Based on Analysis of Messages Exchanges Once Information Systems (IS) are put into production, they are mostly part of distributed networks. If these systems are able to share and exchange information without depending on a particular actor and are able to use the exchanged information and function independently from each other, we can

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3D deep learning on terrestrial LiDAR scanned urban environments for objects monitoring

Large urban agglomerations nowadays are facing some major issues such as economic restrictions, environmental challenges, global and systemic approaches in city management [8]. One of them is to precisely monitor urban objects which can be natural (trees), artificial (traffic lights or poles), static or moving (cars). This is essential to analyze their mutual interaction (for

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Personalized Visits to Foster Engagement and Revisit in Museums

Context With the growing competition of entertainment industry, museums are facing new challenges. They must reach a wider audience, build local visitors’ loyalty and tailor their content to the diversity of this public. Relying on temporary exhibitions or guided tours is too expensive for small museums which makes it hard for them to diversify the

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Robots for elder assistances

Subject : caring practices in social robotics in nursing homes The project shares a design-oriented agenda of research and the adoption of a human-centred perspective and a Participatory Design approach. With the objective of achieving an “adequate design”, the studies aim at properly understanding the needs, values and experiences of the actors concerned. We are

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TreeTech: From paper based tree observation protocol to digital mobile app

As for buildings, roads, and bridges, urban nature requires regular inspections, including an active monitoring of the health status of trees composing it. Several methods of analysis of the state of development of urban trees exist: Crown-Condition Classification in the United States [Schomaker et al. 2007], DEPEFEU in France [Nageleisen 1996], CROCO in Japan [Mizoue

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Bio-Inspired Planning Algorithms Ant Colony to generate HomeCare planning

Today, the aging of the population and the increase in life expectancy are leading to an increase in the number of people looins their autonomy and frailty. Noting the lack of places available in specialized institutions, an alternative is home care (HAD). Home-based care structures help reduce hospital overcharge and provide a better environment for

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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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