This research project aims to tackle the challenge of ensuring the reliability of large-scale software systems, which are crucial for various applications such as online services and data processing. The project focuses on developing cost-effective and intelligent methods for monitoring these systems to anticipate and prevent runtime incidents, such as crashes or errors, which can […]

This project aims at optimizing the use of energy in micro-grids. Reinforcement learning, a branch of artificial intelligence, will be used to reduce the consumption of fossil fuel by better deciding when to charge or discharge batteries. Using reinforcement learning for this automated decision making problem could be interesting as it should allow to handle […]

Modélisation des comportements des fluides environnementaux et du système respiratoire chez l’humain (avec ou sans contaminant; avec ou sans traitement) (ex, : O2))

In our project, we’re creating an innovative card game that blends traditional symbols, like those from tarot cards, with modern cultural references to help professionals navigate today’s complex workplace dynamics. The card game, created with different AI tools, aims to encourage strategic and speculative thinking, collaboration, and open-mindedness among employees, making room for a more […]

The primary objective of this research is to enhance fraud detection in cheques by implementing a comprehensive approach that addresses anomalies in formatting, signatures, and other critical elements. With a focus on fortifying bank applications against financial malpractices, our goal is to develop a robust fraud localization system. To achieve this, we will utilize a […]

The project will investigate how common distractions, such as cell phone use, impact drivers’ ability to stay attentive and respond appropriately on the road. Using electroencephalography (or EEG) to monitor brain activity, we will look for patterns indicating attention or fatigue during simulated human-vehicle interaction, and classification algorithms will also be used to recognize these […]

Le projet consiste à développer et entraîner un modèle hybride (process-based model & computer simulation model) pour quantifier les impacts financiers des changements climatiques sur l’agriculture. Acara cherche à évoluer vers un modèle hybride intégrant des techniques de Machine Learning (ML). Cette transition marquera une étape importante avant le lancement de projets pilotes qui mettront […]

This project is dedicated to enhancing the safety and reliability of cardiovascular disease diagnosis through the innovative integration of Artificial Intelligence (AI) with 4D Flow MRI technology. By applying advanced machine learning algorithms, we aim to improve the precision and dependability of 4D Flow MRI analyses, ensuring more accurate assessments of complex heart blood flow […]

Ce projet vise à développer différents modèles d’algorithmes d’apprentissage automatique afin de planifier la production hydroélectrique à court terme. La résolution de ce problème permet d’obtenir les débits, les volumes et les turbines en marche pour toutes les centrales d’un système de production hydroélectrique. Ayant accès à plusieurs années de données historiques, celles-ci seront exploitées […]

La diffusion à grande échelle des IA génératives (GenIA) a levé les barrières à l’entrée de l’art. Alors que certains artistes s’opposent à l’usage des GenAI en art d’autres les considèrent plutôt comme des outils permettant d’optimiser voire d’augmenter leurs capacités créatives. Ces tensions sont donc constitutives de ce qu’est le processus de création : […]

in this project, we are exploring the combination of quantum computing with machine learning to ensure a quantum-enhanced machine learning. We are focusing on the improvement of the accuracy and reliability of machine learning algorithms. While quantum improvements in supervised, unsupervised learning, and reinforcement learning have been reported, distributed models of machine learning such as […]

Our research expands the paradigm of 1:1 AR collaboration systems to multi-party AR collaboration systems, enabling more flexible control over the positioning of the RU. We investigate multi-party conversations involving two or more participants and one VH replacing the RU. Specifically, we vary the distance between the two LUs and the VH to examine RU’s […]