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.

What is Federated Learning?
Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is used to train high-performance machine learning (ML) models, making artificial intelligence (AI) present in our daily lives. Data is generally sent to the cloud, where it is stored, processed, and

DEESSE: A Generic Search Engine based on Artificial Intelligence
In Berger-Levrault, several of our software products incorporate a search engine in themselves to facilitate access to information. This information can be encoded in files having various and varied formats. For example, Word, PDF, CSV, JSON or even XML files. Current search engines such as Lucene focus most of the

Artificial Intelligence for Home Care Structures
The aging of the population leads to an increase in the number of people losing their autonomy and in situations of fragility. Due to the lack of space in medico-social institutions, home care structures (SAAD, SSIAD, SPASAD, and HAD) are an alternative offering a better environment for beneficiaries. We are working

Understanding the complexity of the city
The systemic project of the city aims to structure the various key concepts which reflect the complexity of the object “City”. The approach used in this project exploits the different data provided by the digital city to translate sustainable development into the processes of technical management of the territory, correlate

When AI generates Human Resources training plans!
Berger-Levrault works in collaboration with the Cusma association and the innovation commission to exchange experiences and advice on innovation applications. Among the projects, we started working on a supervised automatic classification of training requests.This project aims to assist administrative officers using artificial intelligence and robots to classify and prioritize training

CARL – What if maintenance requests were automated?
CARL Source is CARL Software’s main software application for managing maintenance processes within the company, as well as the historical monitoring of the various materials and equipment, buildings, and necessary interventions. We conducted a study involving Natural Language Processing techniques for document understanding and qualification. Basically, we aim at interpreting

Accounting & Robots : A Love Affair
During the past months, Berger-Levrault and the Cusma association worked together within the newly created innovation commission. This comission aimed at co-designing new and innovative services involving for exemple robotic process automation (which we have recently talked and explained on BL.Research), artificial intelligence and natural language processing. The use RPA

PowerBuilder 12.5 goes to the Web!
A few months ago, Berger Levrault’s research team published an article on the result of an experiment allowing a JAVA application to work together with a Visual Basic 6 application. This work showed that you could use business components developed in Visual Basic 6 from JAVA and even “run” an

Augmented Reality in HealthCare
This week we responded to a call for projects from the ANS (French Digital Health Agency calls Structure 3.0. We proposed a totally new approach to interact with BL.soins, based on Microsoft Hololens and augmented reality techniques.The project aims at experimenting with augmented reality, its value, and acceptance in health

The SoftScanner project: How to trace your front-end automatically?
Following the cooperation of three institutions: the University of Montpellier, the Centre National de Recherche Scientifique, and the Berger-Levrault company, the SoftScanner project is now underway. SoftScanner is a Model-Driven Approach for the Automatic Generation of Optimal Anchoring Configurations for Software System Execution Tracing Operations. Context and Problem Developers write