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 […]

Les Éditions Protégez-Vous souhaitent innover dans la diffusion de leur contenu afin d’accompagner les consommateurs dans leurs choix, en particulier avec une plateforme numérique de coaching virtuel. Une première phase consiste à proposer une plateforme avec le contenu du guide pratique « 100 gestes pour la planète » pour accompagner les consommateurs à faire des […]

The aim of this research is to investigate from traditional methods to deep learning methods, how to measure the meaning relationship between two sentences, by combining the local context, at word-level, and the global context at the sentence-level, and their ability to model informativeness and diversity of meanings expressed in natural language, i.e. in English […]

Knowledge of indoor spatial information is vital to stores, warehouses, industries, and homes alike. It is used to optimize layouts to achieve easier navigation for humans, machines, and autonomous robots. Maps provide limited data about the specific placement of objects in the environment and inferring information about the physical space can be impossible. The objective […]

Hard-rock mining of uranium in Canada’s north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project […]

E-commerce has evolved rapidly in recent decades resulted from globalization and international trade. The demand of online shopping is increasing every day, which has opened business opportunities to attract more costumers locally and globally. However, achieving satisfactory user experience in online shopping remains challenging compared to in-person walk-in shopping. Currently, customers have to input static […]

Humans recognise objects in the world leveraging multi-modal sensory inputs beyond visual aspects (images and videos). Touch based information (Haptics) possesses rich information about structure, shape and other objetness properties. In this work, we will study and learn cross-modal representations between vision and touch. To connect vision and touch, we plan to introduce a zero […]

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]