PemPem develops tools to ensure product traceability in informal supply chains using AI. These informal supply chains employ over 60% of the working population worldwide. They typically have highly inefficient operations due to very limited access to information and a reliance on opaque word-of-mouth coordination. While PemPem has started solving the problem of collecting data […]

A frequently occurring problem in face verification in Jumio is that stock face detectors find multiple faces in the input image. The decision which one should be selected for the face verification step is not clear. Common reasons being, users submitting a single image with both selfie and document id. There can be other people, […]

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will […]

In this project we will look at tools to represent the content of an image and the relationships between its salient objects. The purpose of these tools is not only to enumerate the object represented in an image and identify their surroundings but also to describe how these entities are interacting with each other. We […]

Artificial intelligence (AI) is rapidly becoming one of the most critical aspects in both business and science, and an increasing number of leading technology companies in Canada are at the forefront of AI development and innovation. The proposed research project aims at developing AI algorithms that have the ability to accurately classify the sport practiced […]

La compagnie XEOS Imagerie oeuvre dans le domaine de l’acquisition de données lidar (Light Detection and Ranging). Elle désire extraire automatiquement les points associés au sol et aux objets à partir du nuage de points 3D brut de l’acquisition lidar. La procédure actuelle pour classifier les points repose sur une combinaison d’algorithmes spécialisés et d’interprétation […]

Real-time distributed groupware systems are becoming common, but real-time interaction is still poorly supported, particularly on mobile devices. The problem to be addressed in this project is that current mobile groupware systems do not provide adequate support for high speed tightly-coupled interaction. The two main activities will be to evaluate the capabilities of mobile devices […]

Krate Distributed Information Systems Inc. (Krate) and Saskatchewan Polytechnic (SP) are developing an advanced encryption module that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL). DCL’s distributed computer is already functional and in use by scientists and researchers across Canada. This module will equip DCL’s distributed computer with the […]

Recommendations is one of the main ways Kobo users discover content on the platform. By using purchase history, Kobo can suggest other books similar to a certain item. However, this does not provide meaningfulrecommendations in some cases, especially for bestsellers and fiction books. Currently, only for books that have no purchase history does Kobo supply […]

Current video codecs consider algorithms to analyze video imagery in order to find out which bits can be removed for file size reduction without subjective video frame degradation. Integrating AI with encoding process improves the quality of encoding and decoding. AI permits the software to proactively assess the quality of the encoded video before transmission. […]

A-Malgam Technologies Inc. est une entreprise québécoise spécialisée dans le développement Blockchain et IoT pour la mobilité des données massives. Dans un souci d’offrir des solutions plus conviviales et sécurisées à ses membres-clients, A-Malgam souhaite explorer les capacités des technologies émergentes et ce qu’elles peuvent apporter lorsqu’il est sujet de transfert de données anonymes en […]

Enterprise mobility management enables to collect various metrics from million of devices. This industrial research project focuses on identifying the key performance indicators and formulas to identify and predict coverage issues and identify data usage problems within a device. Using the key performance indicators, the intern will explore all feasible machine learning approaches. Final goal […]