Machine Learning developer intern working with the City of Calgary to develop and commercialize AI-powered solutions in the Public Services sector (1)

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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Clear Seas- Rediscovering Traditional Textile Methods of the Tsleil-Waututh Nation

This research project aims to explore and document the traditional textile methods of the Tsleil-Waututh Nation, examining the impact of colonization, shipping, and fast fashion on these practices. By reestablishing traditional methods, the project seeks to foster cultural continuity and community connection. The study will employ qualitative methods, including interviews, participant observation, to gather data […]

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Improving Multiplayer Capacity For VR And Games Projects

Spandrel Interactive is a VR and game development studio that specializes in development of gamified learning experiences and video games. Our main activities include VR product/training development, web development, testing and game/UX design. We have seen disproportionately low sales performance from building award-winning single player games. We consistently see multiplayer outperforming single player in the […]

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L2M QC 2024 – « Infonuage télé-robotique : validation du besoin commercial des robots téléopérés dans les infrastructures en régions nordiques ou éloignées »

Le produit et les services qui sont étudiés dans l’analyse de marché visent à résoudre le problème de l’accessibilité et de l’efficacité des interventions dans les sous-stations électriques situées dans des zones éloignées et difficiles d’accès, en particulier dans le grand nord canadien. Ce stage favorisera l’étude du marché et la validation de la solution […]

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L2M QC 2024 – «Développement d’une application mobile pour l’estimation de la couverture des résidus à l’échelle du champ à partir d’observations de la Terre à haute résolution en utilisant l’intelligence artificielle»

Le projet vise à développer un outil cartographique à haute résolution permettant d’évaluer automatiquement le pourcentage de couverture de résidu au sol. Il est basé sur l’utilisation d’un modèle UNet à Attention Résiduelle (RAUNet). Le RAUnet est un modèle possédant une architecture d’apprentissage profond, léger et efficace, conçue pour estimer la couverture des résidus de […]

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L2M QC 2024 – «Development of Printed Electrochemical Sensors for Efficient CO2 Monitoring and Carbon Capture Applications »

The development of low-power, printed gas sensors is revolutionizing the monitoring of harmful gases like CO2 across various industries. This innovative technology offers a real-time, advanced, and cost-effective solution for detecting and measuring gas levels, significantly enhancing environmental monitoring and industrial process optimization. Utilizing resistance-based and electrochemical sensing approaches, these sensors are part of a […]

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Polymath Global

Revised Public Project Overview Polymath Global is participating in the MITACS – BSI program to offer valuable internship opportunities in Software Design and Development. These internships aim to bridge the gap between academia and industry, providing students with practical experience and skills in product design and software development. The program will benefit Polymath Global by […]

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A framework for technology integration centered around the concept of Self Actualization

This project aims to enhance and expand a comprehensive framework for holistic technology integration tailored to Indigenous values and needs. The first year will involve developing a detailed research plan, establishing relationships with key community stakeholders, and securing necessary permissions and ethical approvals. The project will then conduct primary consultations and interviews with community members, […]

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L2M – Reinforcement-Learning-Driven Electronic Design Automation (EDA) for Optimal Layout Placement

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

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L2M – Enhancing Skin Care Efficacy and Stability with Development of Nanogel-Based Delivery Systems

Our technology surrounds the development of nanogel-based delivery systems to enhance the efficacy and stability of cosmetic products for skin care. Nanogels encapsulate active ingredients, protecting them from degradation and sustained release on the skin surface. This can act as a delivery system to ensure beneficial compounds’ controlled and sustained release, maximizing their impact. The […]

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Machine Learning developer intern working with the Government of Alberta to develop and commercialize AI-powered solutions in the Public Services sector (1)

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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L2M – Commercialization Plan for Terahertz Measurement in Printed Electronics

Printed electronics has the potential to deliver low-cost, high-volume fabrication of electronic devices, but is currently held back by the lack of a specialized quality control solution. Today, verification of functional properties such as conductivity is done with teams of technicians using simple multimeter probes, lacking the speed and accuracy required to characterize roll-to-roll production. […]

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