GV 360

Le contexte de la pandémie a forcé les gestionnaires à revoir leurs stratégies communicationnelles afin de mieux desservir la clientèle. Le Groupe SLRO s’appuyait anciennement sur des événements de réseautage fréquents afin d’attirer, retenir et maintenir un lien étroit avec sa clientèle. Puisque l’entreprise a dû mettre fin à ces événements, depuis maintenant presque un […]

Read More
Causal Reinforcement Learning in Robotics Applications

Our goal is to create an environment for the robots to participate in a cooperative situation and collaborate with other robots and human on cooperating task. Games like Hanabi and Block Stacking problems are good examples of goal-oriented and cooperation focused problem-solving tasks that will lead us to implement an algorithm that can be applied […]

Read More
AI-based Platform for Population-level Social Isolation Detection and Prediction

Social isolation is a serious public health issue which has many negative effects on quality of life and well-being of individuals. This research project aims to develop and test a Minimally Viable technology platform (MVP) to tackle population-level social isolation. This platform is designed to collect and analyze surveys from the users and detect socially […]

Read More
Analytics of Energy Market Carbon Accounting – RES0054167

The proposed research will develop the underlying medium that can be further advanced into a real-time emission intensity assessment framework. The intern will be developing computational models based on electricity generation metered volumes and investigate how deep learning and data mining approaches can assist information extraction to enhance analytical capacities on sequence learning. Since ReWatt […]

Read More
La relation entre les mouvements et l’expression sur canvas: un plugin IA de TouchDesigner pour réaliser de l’art interactif

Ce projet consiste à créer une plateforme permettant à des artistes de peindre sur un mur projeté avec leurs mouvements corporels. Ce projet a pour but d’explorer la relation entre les mouvements et l’expression sur canvas. Le stagiaire a l’expérience pratique pour développer l’algorithme d’apprentissage automatique, travailler avec une équipe multidisciplinaire et produire un plugin […]

Read More
Estimation of Contagion Risk of Infectious diseases by Uncertain Mobility Pattern and Social Interaction Analysis

The present worldwide outbreak of COVID-19 (SARS-CoV-2) has already caused enormous loss of human lives, and massive economic and social upheaval. Even as COVID-19 vaccination has started, it may be many months before normalcy returns. Public health interventions can play a major role in containing and mitigating infectious diseases by disrupting the propagation of contagion. […]

Read More
High-Throughput Linguistic Content Sentiment Analysis

Explosive growth of social media has transformed how people communicate, interact, and actively express their opinions about different topics. Scrawlr’s unique model for platform management allows extensive freedom for users to generate their content, creating a novel opportunity to evaluate user opinions and network structure. A popular method to analyze online content is sentiment analysis. […]

Read More
Design and Development of Next-Generation Electronic Pocket Notebook for Law Enforcement Agencies

Mobile Innovations Co-Notes Electronic Pocket Notebook (EPN) solution not only replaces pen and paper – it connects the officer and enables them to securely gather rich data securely using their mobile device. It allows users to include text, audio, video; statements, evidence, signatures and tickets as well as traditionally recorded notes. Everything is time-stamped, geo-tagged, […]

Read More
Efficient massive spatial data search with version control

In large scale earth observation systems, data is gathered in short duration surveys returning massive numbers of point data observations (often millions) covering significantly sized regions. To maintain up-to-date products (e.g. navigation charts in harbours with continuous silt build-up), successive surveys are performed that often cover overlapping areas. Searches to find all the data in […]

Read More
Mitigating Degree-Related Biases in Training Graph Convolutional Networks

Over the past few years, Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance in machine learning tasks on graph data and have been widely applied to many real-world applications across different fields, such as traffic prediction, user behavior analysis, and fraud detection. However, networks in the real world are often with heterogeneous degree distributions, such […]

Read More
The Levis ERP Platform

Digital Integration Centre Of Excellence Technology Access Centre (DICE) at Saskatchewan Polytechnic (SP) and Levis Media Inc. (Levis) will collaborate on the research and development of an inventory management system that targets small to medium-sized enterprises (SMEs) in numerous industries underserved by current systems. In the space of Enterprise Resource Planning (ERP) software whereby an […]

Read More