Forests in British Columbia have significant areas that need to be managed to limit the danger of fire and disease. Under current management approaches, there are few cost-effective options available to areas that are not already regularly harvested. A holistic analysis of pelletization of these materials could show that the sale of wood pellets, as […]

In partnership with KeyLeaf (KL), Saskatchewan Polytechnic (SP) is developing a system for the bioprocessing industry that will interface through a mobile app, collect data on a NoSQL database, and use analytics to mine it for new insights into all processing aspects. The Engage phase of the project will commence in tandem with a MITACS […]

Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. However, those detections should be interpretable, […]

The oceans cover the majority of our planet’s surface but much of their depths are still a mystery. Improvements in technology have allowed for the development of instruments on underwater platforms and autonomous gliders that are able to survey the world’s oceans. One instrument, called an AZFP (acoustic zooplankton fish profiler), emits high-frequency sonar pulses […]

This project assesses the feasibility of using drones to inspect aircraft for surface damage and defects such cracks, fractures or dents. The intern will first carryout a comprehensive literature review and environmental scan of the existing technology. He will then assist in developing and conducting a series of physical tests to determine the best camera […]

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

The majority of license producers (LP) Cannabis producers have witnessed evidence of powdery mildew and grey mold and bud rot diseases. Plant yields and ultimate profitability can be severely undermined by these diseases. Medicinal plants produce essential oils in the form of secondary metabolites. The essential oils have the potential to be used as antibacterial, […]

In natural selection, differential fitness relies on the chromosomal shuffling during meiosis that enables the production of haploid gametes that are genetically different. However, meiotic-induced genetic variability can be an economic burden to the animal breeding industry since offspring often do not inherit the most desirable genes from their parents. Although genomic markers are currently […]

La planification de la réfection d’un navire est une tâche difficile qui requiert un effort considérable en termes de ressources qu’il faut gérer. Elle comprend plusieurs centaines d’activités d’inspection, de désassemblage, de réparation, de remplacement, de reconversion, de modernisation et de réassemblage. De plus, il faut prendre en compte les contraintes d’espace qui limitent le […]

Le projet consiste à optimiser les pratiques de gestion de la publicité sur les médias sociaux (SMM) pour plusieurs clients de l’agence de Marketing Numérique Click & Mortar. Le SMM inclut plusieurs pratiques d’optimisation de la présence sur les réseaux sociaux tels que Facebook ou Instagram. Les algorithmes sophistiqués utilisés pour filtrer le contenu publié […]

Delphia’s business model revolves around generating insights for investing firms that allow them to make better trading decisions. It has been shown that detecting when Twitter users post about recent or future purchases has the potential to increase the accuracy of company sales forecasts, which in turn can inform stock trading strategies. This internship project […]