Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

There is a critical shortage of commercial pilots in North America, in large part because pilots who are qualified to conduct such training are in very high demand. Delphi is an innovative Calgary-based flight training school that is using novel methods to improve student outcomes, increase retention of students, and scale student training to better […]

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

Mobile devices are well established at the heart of our digital lives. Today, these devices are utilized as personalized and enterprise application nodes. Moreover, mobile devices support ubiquitous access to data which even makes them a pivotal component in the deployment of applications such as online games. However, there are challenges that have plagued the […]

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

MedInstructional Resources Inc. focusses on providing turnkey solution for the education needs of the medical professions. Our current focus is on improving the reliability, agility, accountability and quality of medical student exams. The widespread adoption of mobile computing devices like tablets, offer the possibility to digitize the process of conducting student/patient exams in hospitals. MedInstructional […]

Social media integration into enterprise-oriented workflows is gaining widespread adoption due to factors such as crowdsourcing and inter-organization collaborations. The partner organization has an existing system that is working for helping Saskatchewan businesses grow by bringing educated youth into the province. Their system is for providing opportunities for people all around the world to live […]

Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

The Earth Data Store project provides a cloud-based repository for information about our earth. This encompasses satellite information, environmental models, sensors, and many other types of data that allow users to ask questions of this data to help inform their understanding of the world. The outputs of the project will allow economic development to be […]

Ce projet vise le développement de modèles d’apprentissage automatique capables de détecter des inefficiences dans le fonctionnement des systèmes informatiques critiques, de prédire les instabilités applicatives, de fournir des recommandations pour une utilisation optimale des ressources, et d’améliorer l’estimation des besoins de rehaussement des systèmes informatique du Mouvement Desjardins. Ce projet s’attaque à trois secteurs […]