Practicare aims to leverage technology to improve community care outcomes through a holistic lens of worker and organizational excellence. The company plans to directly tackle the #1 problem articulated by both care organizations and the clients that they support: the availability, skill, and turnover of care workers; and the direct impact this has on community […]

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]

Achievement of competence in medical interventions requires practice, and early stages of practice are best done in simulation, typically using some combination of digital (computer generated) and physical (mannequin) models. The overall objective of the pro;osed MITACS Globalink project is to design, implement and evaluate a practical embodiment of the novel low-cost ultrasound-guided kidney intervention […]

Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and […]

Un ordonnancement est défini par le planning d’exécution des tâches et d’allocation des ressources, et vise généralement à satisfaire un ou plusieurs objectifs. La fonction objectif la mieux traitée est la minimisation du délai total, i.e. la date de fin de l’ordonnancement. Une part conséquente et structurée de la littérature y est consacrée que ce […]

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on […]

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations currently requires a considerable amount of human effort to match the text with a GIS or other mapping system. This becomes especially challenging when the same place name is represented by multiple places, such as in the naming […]

This project will help Voronoi Health Analytics improve and refine their advanced artificial models used for automating interpreting and analyzing medical images. The intern will help with data collection processes that are required in order to train state of the art AI models for automating medical image analysis, resulting in more efficient and effective health […]

La recherche sur le cerveau se tourne de plus en plus vers des études qui consistent à observer un même groupe d’individus sur une longue période. De ces études, nous sommes désormais capables d’extraire une multitude d’informations relativement complexes (multi-dimensionnalité) sur le fonctionnement du cerveau. Or, les outils statistiques actuels ne permettent pas de considérer […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

Using a fisheye head-mounted camera to estimate human pose in 3D has become increasingly popular in recent years due to its ability to capture activities in unconstrained environments. Egocentric 3D human pose estimation (HPE) has a number of challenges due to self-occlusions and strong distortions. Intermediate heatmap-based representations have been found to be effective in […]