Bridging Knowledge Gaps for SMEs to Thrive in the Next Normal Economy

Bridging Knowledge Gaps for SMEs to Thrive in the Next Normal Economy Hiring and developing skilled workforce talent is a major challenge faced by all companies. However, this challenge is amplified when companies receive a high volume of applicants – particularly where the company is a labor-intensive business, or growing quickly, and or facing high […]

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Real-time path identification and visualization in indoor environment using image analysis and deep learning techniques

The number of people requiring indoor navigational assistance (e.g., blind, elderly people) is increasing rapidly all over the world. People often get lost in complex places like hospital buildings. Unfortunately, the GPS service is not available indoor. The main objective of this project is to develop a robust and fast navigational technique based on continuous […]

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AI-based lattice structure design for 3D printed customized health care cushion supports

Designing customized seating cushion supports for people with limited mobility is essential. A personalized cushion would help relieve seating pressure and prevent tissue injuries due to long-time sitting. This project aims to speed up and lower the cost of producing these cushions by using machine learning, and additive (3D) manufacturing techniques. This project is being […]

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IP and Commercialization Framework for the University of Alberta

This work will support University of Alberta’s “IP and Commercialization Policy and Processes Review and Recommendations Committee”, responsible for creating a new IP and commercialization framework that supports innovation and entrepreneurship at the University of Alberta. The work of this Committee will be transformational for the U of A, and will define its innovation and […]

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Front End Developer

2.2 billion people live with vision impairment: Over 1 billion are preventable or treatable. Even though the majority of cases are in Developing Countries, 75% of vision loss in Canada is preventable and 1 out of 5 Canadians are at risk of vision loss. Our emerging crisis of preventable blindness costs the Canadian government almost […]

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Estimating black bear kill rates of boreal caribou calves and the resulting effect on caribou population dynamics

Boreal caribou are federally listed as threatened due to widespread population declines. The main cause of decline is predation, which is influenced by human-caused landscape disturbance and climate change. Recent evidence suggests that black bear predation of caribou calves may be hindering the recovery of some caribou populations, but this impact is poorly understood in […]

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Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying […]

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Cost-effective leachate treatment using aerobic granular sludge technology

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There […]

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Developing an Automated Response Characterization Tool Based on Affect, Content, and Linguistic Features of the Casper Test

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters […]

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A Data-Driven Modeling Approach for Estimating Methane Emission Sources from Satellite, Environmental, and Oil/Gas Well Data

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

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Absorption of colostral immunoglobulins in neonatal dairy calves

Calves are born without antibodies needed to fight off disease. The only source of antibodies available for the first few weeks of a calf’s life comes from maternal colostrum, the first milk produced by the cow. Calves are able to absorb these antibodies for approximately 24 hours of life, and absorption rates vary widely. Currently, […]

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AltaML Strategic Business Expansion

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

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