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Duck software architecture

Duck: A Customized LSP for Berger-Levrault. Because, why not ?

Introduction The Language Server Protocol (LSP) is a standard that defines how code editors communicate with language-specific servers to provide advanced development features such as autocompletion, go-to-definition, find references, and diagnostics (errors and warnings). Before LSP, each editor had to implement its own support for every programming language, leading to duplicated effort and inconsistent feature quality across tools. LSP addresses this by decoupling the editor experience from language-specific logic. Instead

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Pascal Zaragoza Ph.D. thesis defense: Model-driven migration of monolithic applications towards a microservice-oriented architecture

The passage to Cloud Computing fostered the development of new architectural styles to take advantage of its capabilities. The microservices oriented architecture (MSA) is the last style to emerge. This architecture is organized around small services focused on specifics business features, operating in independents processes and communicating through light interfaces. These features associated to cloud

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Web scraping illustration.

RPA to automatically collect contacts over the web

To improve Berger-Levrault network, we work in collaboration with the sale department to collect the last news about DGS (Director General of Services) in France. The DGS is directly linked to the elected representative and insure the general coordination of services to implement municipality’s projects. This strategic position embodies the management of a regional government.When

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Federated learning framework for IoT.

A Federated Learning Framework for IoT

There are thousands of institutions like hospitals collecting private and sensitive data, which mean they can not be transferred to be used. Though federated learning needs data to be trained. As we can not send them to a database like this (unprotected, non-confidential), a solution has been thought: each institution will locally train a model

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Stadium Océane du Havre.

BL.Predict, the clairvoyant of maintenance for Le Havre city

Imagine you won the lottery (yes, we all dream about it) and bought Versailles castle. You can not remember if you closed the bathroom tap on the other wing of the castle. Do not worry, you do not have to walk ten minutes long, you just have to check your phone app which will let

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BL.Exchange featured image.

BL.Exchange, a solution to make softwares relationship friendly

Nowadays, the IT market is made of thousands apps with even more software options. Organizations are using different kind of apps with distinct sets up which evolves really fast for different purposes. In addition, the apps are developed according to technical standards that are constantly evolving. This context makes the communication between apps difficult. Though,

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BL.SenseLife MVP featured image

BL.SenseLife MVP

A Minimum Viable Product (MVP) is a first version of a new product with enough features to address the most important needs of users and customers, who can next provide feedback for future evolutions. It is basically the first implementation of an idea into a deployable and marketable solution with its mains functionalities.  We have

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CASINO process featured image

Casino, a tool to migrate applications

For five years now, our team is working on the preparation to migrate Berger-Levrault’s apps. To ease framework’s transition to new standards, we created Casino. A homemade tool to assist in future migrations. Casino, what’s that? It’s an innovative tool to simplify the migration process by automatically transforming apps code. We explain below the four

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SemEval Task 8 featured image

Back on SemEval 16th edition task n°8

Find about our work on SemEval task n°1: reverse dictionary SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each

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illustration semeval task 1 v3

Back on SemEval 16th edition task n°1

SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each year’s workshop features a collection of shared tasks in which

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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,

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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

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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

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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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