This project develops and benchmarks novel offline training algorithms for AI navigation in gaming environments. As such, it is intended to be a self-contained project. Traditional video game navigation heavily relies on navigation meshes (navmeshes) for pathfinding. Navmeshes offer a simplified representation of complex environments but face limitations in portraying nuanced navigation abilities, such as […]

The First Nations Health Atlas aims to comprehensively analyze diverse administrative datasets from Alberta Health and Alberta Health Services to produce holistic analytics for First Nations health in the province. The initiative’s core objectives include establishing a comprehensive roster of First Nations individuals from Bigstone, Siksika, and Maskwacis nations, analyzing disease incidence and prevalence, scrutinizing […]

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Physical activity and dairy intake during growth and development are each known to improve peak bone mass. Peak bone mass, the maximum amount of bone a person will have in their lifetime, is typically reached in the early 20’s in females and late 20’s in males. However, evidence suggests that young people do not consume […]

This internship aims to implement an advanced system for automatic keyword extraction from textual web contents. Keyword extraction not only provides a concise and salient representation of a document, but also can be used in web-based applications such as efficient indexing, intelligent tag recommendation, and contextual advertising. In this research project, a hybrid keyword extraction […]

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.

The subproject focuses on the intersection of cultural policy and responsible AI development. The problem of data bias and automated recommendation are two known problems in cultural industries and AI development relevant to the Discoverability project. The project seeks to develop alternative forms of algorithmic recommendation that differ from the de facto emphasis on personalization. […]

Rogers Communications, with around 8,000 cell towers in Canada, faces challenges in manual inspections, which are slow and risky. In collaboration with Rogers, our research team is developing a cutting-edge solution: small drones enhanced with 5G and AI technology. This approach aims to revolutionize tower inspections by providing faster, more accurate, and safer methods. The […]

Access to specialist care, especially in rural and remote locations, is a growing challenge in Alberta. Patients with conditions such as age-related macular degeneration, diabetes, and macular edema must travel to large urban centres for assessment by retinal specialist ophthalmologists. Assessment typically requires OCT imaging, which is now broadly available through optometrist offices across the […]

Upgraded uses software to help software, hardware, and venture-backed startups find and claim tax credits, grants, financing, technology savings & other hard-to-see opportunities. Upgraded aims to streamline marketing processes using artificial intelligence (AI) to provide insights and streamline content creation. The core focus is ensuring that the content we generate is not generic but highly […]

Upgraded uses software to help software, hardware, and venture-backed startups find and claim tax credits, grants, financing, technology savings & other hard-to-see opportunities. We’ve indexed thousands of savings opportunities to algorithmically recommend savings where they couldn’t find them before. Upgraded aims to streamline client fulfillment processes using artificial intelligence (AI) to provide insights as well […]

It’s generally well-accepted that some technical teams are more agile than others in their market. These traits are often associated with startups, and statements like “Startups move faster” are rarely challenged. We would like to observe these organizations in their natural habitat, collect data across a wide range of activities, and find correlations between these […]