Internships 2023
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your
Category: Data science
AI For Aviation
Our team works with EUROCONTROL and WaPT to safely reduce wake separation between flights. Read on to read more about the two papers they recently published!
We Collaborate on the TAUDoS Project
We started a new collaboration with Aix-Marseille University, Montreal University, Nantes University, and St-Etienne on a four-year project called TAUDoS, which focuses on Trustful AI.
Calibrate to Interpret
Trustworthy machine learning is driving a large number of the ML community works in order to improve ML acceptance and adoption. In this paper, we show a first link between
Master Thesis Offers 2022-2023
We offer master thesis supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your
Congrats, Dr Ciortan!
We are super proud of our colleague Madalina who defended two weeks ago her PhD at the Université libre de Bruxelles. She studied unsupervised analysis of RNA sequencing protocols data,
Discover Our Trainings
To share our technological knowledge with our academic and business partners and our customers, we propose tailor-made practical or applied workshops. We challenge our trainees' everyday experiences with emerging digital
INTERNSHIPS 2022
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your
Multimodal Classifier For Space Target Recognition
We propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders to embed the two modalities
AMI-Class: Towards a Fully Automated Multi-view Image Classifier
In this paper, we propose an automated framework for multi-view image classification tasks. The proposed framework is able to, all at once, train a model to find a common latent