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.
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
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
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,
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
CI/CD pipelines: good software development practice, but green?
Software development increasingly relies on continuous integration and deployment (CI/CD) processes. At Berger-Levrault, dozens of software applications, comprising thousands of lines of code, are developing. In the context of climate change, it is becoming essential to understand and reduce the energy consumption of these processes. When discussing the energy consumption
Model-Based Analysis and Comprehensive BRMS Migration: IBM ODM to Drools Case Study
Introduction This study outlines the process for migrating a project from IBM Operational Decision Manager (ODM) to Drools, offering a comprehensive guide for a seamless transition. Both ODM and Drools are Business Rule Management Systems (BRMS) that automate and manage business rules and decision-making logic within applications. A BRMS helps
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
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
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
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
