Advanced aerial drones have extensive applications in industry, e.g., water resources management, warehouse operations, search & rescue, and geographic mapping. Current drone body frames mainly use low-temperature polymers with limited thermal and structural performance. In this project, high-temperature high-performance polymers and continuous carbon fiber composites will be used for 3D printing drone body frames. It […]

AlleyCorp Nord (ACN) a créé et développé plus de 20 entreprises sur un modèle d’incubation propriétaire (dont la plus connue MongoDB). Les entreprises fondées par AlleyCorp ont levé collectivement plus d’un milliard de dollars en capital-risque et emploient des milliers de personnes à travers l’Amérique du nord. Beaucoup de ces entreprises visent à utiliser l’apprentissage […]

Breast cancer is the most common cancer (excluding non-melanoma skin cancer) in 109 countries including Canada. Approximately 70% of the breast cancer surgeries are breast-conserving lumpectomy procedures. Histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Perimeter Medical is developing advanced Optical Coherence Tomography (OCT) […]

Wind tunnels are an important tool that are used for automotive performance testing. The focus of the research project is on the development of a system to be used in wind tunnels that can simulate gusts and sweeps that vehicles often experience while on the road. This is important since it can enhance vehicle testing […]

The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged […]

Traditional Computer Generated Imagery (CGI) splits the process into separate stages: we model geometry; apply textures and define surface properties; animate motion; and apply lighting; before combining the elements when rendering imagery. Deep-learning methods such as Deep Fakes, or NeRF train a network to combine many of these steps into a single network, and are […]

The proposed research project aims to improve the way data is transmitted between mobile devices and company servers. This will improve the speed and security of file transfers, data synchronization, application deployment, and distant management of mobile devices. The intern will collaborate with experts from the partner organization who will offer guidance and support in […]

L’Intelligence Artificielle est utilisée dans le domaine médical afin d’offrir d’une part une aide à la décision à un personnel médical généralement surchargé et d’autre part une meilleure personnalisation des soins à partir des données relatives à une population. Il est nécessaire de vérifier a posteriori, la bonne généralisation du modèle avec des ensembles de […]

The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting an emergency or collecting the […]

This project will evaluate an elementary school mentoring program, the Learning Buddies Network (LBN), which targets challenged students in reading and math, in terms of its outcomes in respect to the mentee’s self-efficacy beliefs and performance. The intern will consult with senior staff members of the LBN organization to identify improvements and extensions to the […]

This research project aims to address the growing interest in predicting clinical outcomes using machine learning (ML) approaches applied to Electronic Medical Record (EMR) data. The primary objective of this study is to develop representations of both EMR and text data found in medical notes using current state-of-the-art ML techniques. In particular, this research proposes […]

Weyerhaeuser Drayton Valley Lumber Mill has employed continuous monitoring of vibration for all the critical rotating assets in the mill to detect failures in early stage and prevent failures. Continuous monitoring is achieved through sensors mounted on the equipment and each sensor collects real-time vibration data of the equipment. Real-time vibration data give an understanding […]