This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s Venture Studio […]

This project will test and improve Voiced Memories, a Canadian-made digital storytelling tool designed for older adults and caregivers. The platform allows people to pair personal photos with recorded voice stories, creating “digital memory galleries” that can be revisited, shared, and used to spark conversation. The research will take place in two settings: Memory Cafés […]

Behavioural disorders are linked to circadian rhythm disruption. Circadian rhythms are behavioural responses to daily environmental changes, like light/dark cycles. Such behavioural responses are regulated by circadian clocks, which are biochemical time keeping machines that control the daily expression of several hundred genes. There is a circadian clock hypothesis of behavioural disorders that offers a […]

Transcranial magnetic stimulation (TMS) is a safe form of non-invasive brain stimulation that treats different brain conditions. Theta burst stimulation (TBS) is a TMS protocol that alters the underlying neural circuitry and is an FDA and Health Canada approved treatment for Major Depressive Disorder. How cTBS changes brain function remains unknown; however, understanding this mechanism […]

This project will study how male and female executives differ in the adoption of artificial intelligence (AI) technologies. I use the launch of ChatGPT as the big technological event to understand how executives communicate and discuss the adoption to generative AI. I then analyze how these differences affect how investors react in the stock market. […]

Wire Arc Additive Manufacturing (WAAM) is a promising technology for fabricating large metal components, but consistent thermal monitoring is challenging due to camera positioning variability. This project addresses that issue by developing two key systems: a pre-calibrated mounting jig and a fixed calibration fixture. The partner organization, which operates a WAAM system, requires precise camera […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

Pipelines are a critical component of energy infrastructure but are vulnerable to threats such as cracks and geohazards, which can cause severe failures. To mitigate these risks, cost-effective integrity management is essential, aiming to operate pipelines effectively and efficiently by maintaining safety and delivering economic benefits. The intern’s PhD project proposes a Risk based Inspection […]

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]