Transformer neural network models have achieved state of the art results in many areas of machine learning, including natural language processing (e.g. BERT, GPT-3) and computer vision (e.g. ViT, SAM). However, to achieve these results currently requires extremely large training datasets which are not available in every domain. One such domain is medical imaging, in […]

Deep neural networks (DNNs) are increasingly employed in vision-based systems, extending well beyond self-driving vehicles. With the rise of the Internet of Things (IoT) and distributed vision sensing, vision-based systems have found diverse applications across various domains. These include detecting hazards on work sites and anomalies in critical infrastructure, utilizing, for example, video and image […]

The intern will work on a research project aimed at enhancing the shopping experience for customers on Air Liquide Canada’s website by developing a personalized recommendation system. The intern will explore and apply advanced ML techniques to leverage new sources of information such as textual descriptions and user characteristics, which will help better understand customer […]

XEOS Imagerie a mis en place un programme d’acquisition de villes en 3D et de création de jumeaux numériques. Pour ce faire l’entreprise capte les données suivantes : — Photos aériennes verticales à 5 cm de résolution — Photos aériennes obliques à 5 cm de résolution — Lidar à 30 pts/m² XEOS Imagerie désire utiliser […]

New/Mode is a Canada-based social enterprise that facilitates communication between elected representatives and their constituents on the behalf of progressive NGOs. This project will bring novel machine learning technologies to bear in an effort to improve accuracy and efficiency in the maintenance and evolution of a repository of contact information for these elected representatives.

The proposed project aims to commercialize our innovative real estate platform, MyHomie, by launching the V2.0 version to achieve product-market fit. Our larger goal is to develop an automated process that allows homebuyers and sellers to transact with just one click. We understand that this is an ambitious objective, but we believe that it is […]

The project consist of an exploration of molecules simulation with the help of high power computation and quantum computer. Specifically for this project, one of the following will be simulated: CO2, CH4, H2, N2, and O2 or small organic molecules or Metal-Organic Frameworks

This research project aims to address the challenge of improving customer experience and satisfaction by providing quick, accurate, and efficient answers to their questions about Avid products and services. Avid’s extensive knowledge base (KB) serves as a valuable resource for customers; however, finding relevant information can be time-consuming and challenging. The proposed AI-powered virtual assistant […]

A video game livestream is when one or more “streamers” broadcast themselves playing a video game to an online audience in real time. Our research project will explore the design of video games that allow large audiences (50+ people) to directly control aspects of a game during a livestream. We will investigate ways the audience […]

The proposed research project aims to explore the benefits and challenges of migrating on-premises data centers to cloud-based solutions. The intern will investigate the environmental sustainability, cost-effectiveness, and trustworthiness of cloud computing in comparison to traditional data centers. By analyzing real-world case studies and conducting experiments, the project seeks to provide insights into the potential […]

En conformité avec le Plan d’action numérique en éducation et en enseignement supérieur, les bibliothèques scolaires tendent à devenir des carrefours d’apprentissage (mesure 17). Pour ce faire, il importe que le personnel scolaire et les élèves aient en main de l’information de qualité quant aux usages pédagogiques des livres à leur disposition en bibliothèque. À […]

PayTickr is a mobile time tracking and payroll system for small businesses. This project’s focus is adding an AI-assisted scheduling module to the system, allowing small business owners to schedule their employees quickly and efficiently each week. Employees will be able to access and view their schedule through a mobile app as well as requesting […]