Mitigation des impacts opérationnels des erreurs de contextualisation dans une scène routière

E-Smart commercialise une solution innovante qui offre aux gestionnaires un moyen automatisé d’assurer la conformité aux limites de vitesse, sans qu’ils aient à surveiller les camionneurs. Une interface placée à la commande d’accélération contrôle activement la vitesse du camion en temps réel, en se basant sur la cartographie des limites de vitesse. Toutefois, lorsque la […]

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L2M – Development of a modular AI voice architecture for automated dental front desk operations

Orbis Assist is developing “Ava,” an intelligent voice assistant designed to function as a fully automated receptionist for dental clinics. This internship project focuses on building the secure software that allows the AI to manage phone calls, schedule appointments, and answer patient questions by directly connecting with the clinic’s internal calendar systems. By automating these […]

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Supporting Review of Topic-Based Code Changes

La revue de code est essentielle pour assurer la qualité logicielle, et une revue efficace nécessite de comprendre à la fois la modification individuelle et le contexte plus large dans lequel elle s’inscrit. Dans de nombreux projets, y compris ceux utilisant Gerrit, les développeurs regroupent les modifications liées en un « topic » qui représente […]

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IA générative et intelligence éducative : vers des évaluations intégratives multimodales

Les systèmes tutoriels intelligents sont de plus en plus utilisés pour offrir un apprentissage personnalisé dans les environnements numériques. Ils permettent d’adapter les activités aux besoins de chaque apprenant, de suivre sa progression en temps réel et de fournir un accompagnement individualisé. Ces technologies génèrent une grande quantité de données sur la façon dont les […]

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L2M – WayLuma

This project will develop an easy-to-use system that helps students automatically fill out university application forms by organizing their information and entering it into different school portals. The goal is to save students time, reduce mistakes, and make the application process less stressful. For North Forge, this project provides a chance to support a new […]

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L2M- Potatoleaf Doctor( AI model for potato leaf detection)

Agriculture supports food security for 60% of the global population, with potatoes, the 4th most consumed crop, feeding around 1.5 billion people daily (Afakh et al. and LeCun et al.). Canada produces about 5.7 million tonnes of potatoes each year, making it the 12th-largest producer in the world. The country’s potato exports generate around $1.6 […]

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Understanding and improving compositional generalization in vision-language models

Compositionality — the ability to understand new combinations of familiar parts — is a core aspect of human cognition and reasoning, but current vision-language models such as CLIP still struggle with it. These limitations reduce the reliability of systems that must correctly interpret objects, attributes, and relations in real-world scenarios. Although many methods have been […]

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Amélioration des services publics de la Ville de Trois-Rivières

La Ville de Trois-Rivières, 9e plus populeuse du Québec avec 148?469 habitants, compte sur une équipe de 1?250 employés pour offrir des services publics de qualité à ses citoyens. La Direction des technologies de l’information (TI) joue un rôle stratégique en accompagnant l’administration municipale dans l’identification de ses besoins et l’atteinte de ses objectifs grâce […]

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Mining and Modeling Review-Priority Labels in Gerrit for Predictive Review Analytics

Code review is a critical step in modern software development, ensuring quality, preventing defects, and coordinating collaborative work. Large ecosystems such as OpenStack, which is hosted on Gerrit, receive a high volume of code changes every day, making it challenging for reviewers to decide which contributions should be handled first. In response to this, OpenStack […]

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AgriSim

This project will create a realistic virtual greenhouse where robots can practice picking and pruning. It improves plant physics (bending, fruit detachment), models cameras and depth sensors to produce training data, generates many varied greenhouse scenes, and links simulated robots to Kinova’s control software for end-to-end testing. The result: faster, cheaper R&D, fewer risky field […]

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