Ce projet de recherche vise à mieux comprendre comment l’intelligence artificielle générative peut être utilisée en éducation de manière réfléchie, responsable et adaptée à différents contextes culturels. Le stagiaire collaborera avec des chercheur·es et des formateur·rices universitaires aux Philippines afin de partager des cadres développés au Canada et d’échanger sur leurs usages possibles en enseignement […]

L’intelligence artificielle joue un rôle de plus en plus important dans le domaine de la santé, notamment grâce aux grands modèles de langage capables d’analyser de vastes volumes d’information médicale. Toutefois, ces systèmes demeurent souvent difficiles à interpréter, ce qui limite leur utilisation dans des contextes sensibles. Ce projet vise à développer des outils d’intelligence […]

This project will involve designing and building an internal analytics system that helps Staccato better understand how users interact with its AI music creation product. The student will help define what product data should be collected, add tracking inside the software, and build a dashboard that turns this data into clear, useful metrics. This will […]

Ce projet de recherche a pour objectif d’améliorer l’efficacité énergétique des réseaux de neurones en explorant une méthode d’apprentissage alternative. Le stagiaire aura pour mission de développer une approche informatique permettant de remplacer les calculs numériques complexes par des opérations logiques binaires simplifiées. En utilisant des techniques d’optimisation mathématique, ce travail vise à entraîner des […]

This project aims to develop a reliable and easy-to-understand artificial intelligence tool that can help answer medical questions more safely and transparently. By improving how AI systems explain their answers, the project seeks to increase trust among healthcare professionals and patients while reducing the risk of incorrect or biased medical information. The collaboration between the […]

During the stay the intern will be carrying out the following duties and responsibilities: The intern will be engaged in a research project on AI-driven procedural content generation. The intern will explore how artificial intelligence (AI) can be used to automatically generate content such as game levels or puzzles. By combining AI with procedural generation, […]

This project explores how post-quantum cryptography (PQC) algorithms can be efficiently implemented on hardware platforms to prepare for future quantum-safe security needs. As new NIST-standardized PQC algorithms replace older encryption methods that are vulnerable to quantum attacks, designers face challenges due to higher computation and memory demands. The project will study a representative PQC algorithm […]

Eye-tracking reveals otherwise invisible aspects of human attention, emotion, and social interaction, but current systems are limited by expensive hardware and complex analysis workflows that restrict use to small, controlled groups. SocialEyes is a peer-reviewed research technology that enables synchronized eye-tracking across large co-located groups by aligning multiple data streams in time and space. The […]

Current step-counting algorithms in wearable devices are inaccurate for older adults because they were designed and tested on younger populations. This creates measurement errors that undermine physical activity monitoring for the group that needs it most. This project will analyze accelerometer data from older populations to identify gait characteristics such as cadence, walking speed variability, […]

This project aims to develop an automated and robust satellite-based pipeline to map hedgerows, which are import for carbon storage, biodiversity and agricultural landscapes. Even though a large amount of satellite data is available, current methods often rely on manual labeling and are sensitive to changes in region or sensors. During this internship, a machine […]

This project aims to enhance the detection of modern cyberattacks by investigating quantum machine learning (QML) and quantum neural network (QNN) approaches alongside classical machine learning and deep learning models. As cyber threats evolve, attackers increasingly employ stealthy strategies, such as low-and-slow attacks and phishing/spear-phishing, designed to evade traditional detection systems. Moreover, many existing models […]

Online hate is increasingly spread through memes, where harmful meaning comes from the combination of images and text, making it harder to detect than text-only abuse. Through a 12-week research visit to the University of Hildesheim, I will develop and evaluate efficient AI models that can better identify hateful memes across multiple datasets while remaining […]