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.

Moose environment.

Visualize your codebase with Moose

Developing an application is teamwork. It requires complementary skills to make it run smoothly. Though, bugs happened frequently and it’s not easy to read the code and all its interdependencies. So the easiest way would be to call your colleague who worked on it, but he has a flu and

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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

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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

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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.

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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

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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

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