Machine Learning Tools and Visualization Tools Software Development for Custom Instrumar Fiber Sensor

Instrumar Limited’s core technology platform is based on the measurement of electrical properties of materials that come in contact with its sensor. The sensor generates a tightly confined electromagnetic field that detects the properties as material enters this field. The sensor is sensitive to the amount, the shape, its density, temperature, conductivity, impurities, moisture content […]

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Humano.Health

Augmented reality has the ability to revolutionize the healthcare system. Notably, for medical students and doctors. Studies demonstrate that interactive learning is the most effective way for medical information to be disseminated to medical students and professionals. This project seeks to develop an app for women’s sexual health that will assist in physician and medical […]

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Scale of the Universal Access Needs Around Central Bank Digital Currency

Online banking and cashless payment options are seemingly everywhere but remain difficult or inaccessible to many Canadians. Much is already known for how to make these systems work better for a broader range of citizens, but this know-how is spread across many documents and reports, limiting its ability to guide the design of new systems. […]

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Renewable Natural Gas Opportunities and Advancement

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the […]

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Interopérabilité des systèmes d’information en agriculture verticale

Ferme d’Hiver propose de bâtir un système décisionnel basé sur les données visant à augmenter la productivité et à minimiser les coûts en énergie en agriculture verticale. Le projet innovateur suggère de regrouper l’ensemble des fonctionnalités d’un complexe en salle fermée/serre traditionnelle en un seul et unique système de production et de décision automatisé. L’un […]

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Smarter Collaborative Software to Support Energy Operations Centers

For so many years, industries that are heavily reliant on geospatial data have been working with paper maps unfolded on tables. Some of these companies are still using paper maps to analyze huge amounts of data despite the current availability of geographic information system (GSI) for storing and managing geospatial data. Data management tasks using […]

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Development of a subject-centered social media – Phase 2

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

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Automation of task sequencing and allocation

The National Bank of Canada (BNC) is integrating artificial intelligence (AI) in their software development processes. Within their software projects, the team is continuously improving solutions and integrating them within the organization. A key issue in the development and integration cycle is allocating team resources to different tasks. Short-term development tasks (completed under “sprints” in […]

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Détection et explication de bris des bornes de recharge rapides pour véhicules électriques

L’objectif du projet est de détecter rapidement des bris dans les bornes de recharge rapide. Pour ce faire, nous devrons extraire des données actuellement stockées dans des fichiers et ensuite les analyser à l’aide de l’apprentissage automatique. Finalement, pour les bris détectés, nous tenterons de trouver les facteurs les expliquant le mieux possible. Pour les […]

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Spectral Methods in Quantum Kernel Classifiers

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

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Development of Interactive, Online Quantum Computing Educational Material

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, the […]

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