Grants and Contributions

Intake automation involves using AI to answer incoming calls and automate the beginning part of the conversation where the same questions are asked every time. As it receives answers it updates a dynamic dashboard for the RVTs. From gathering the initial animal health concern to details about the caller & animal, this will help reduce wait times for callers with animal emergencies and lead to better outcomes for the animals.

Finally, to demonstrate that an AI algorithm can learn to generate or evaluate patterns from a limited set of rules. These steps are fundamental to laying the foundations for an intelligent, reliable and adaptable machine capable of supporting robust, accurate and scalable automated palletizing solutions.

The primary objective of this project is to map the array of applications for health-related machine listening to identify privacy risks and protect the privacy rights of Canadians.

Injury or complete tear to the Achilles tendon happens often after being in bed for a long time (e.g. if one needs to stay in bed for a long time because one is very sick). Astronauts in space have the same problem because being in low gravity is like being in bed. This project will find out whether providing a treatment with artificial gravity (using a human centrifuge) combined with either cycling while in bed or exercising while the whole body is being vibrated can help stop an Achilles injury after bedrest. The research team will also find out if there is a difference in the effect of resting in bed in men versus women.

This project aims to develop an AI-based waste forecasting system to meet rising demands for smarter, data-driven waste management. With growing pressure on municipalities and operators to achieve diversion targets and boost efficiency, accurate waste volume prediction is critical. This initiative supports the firm’s strategy to expand digital capabilities and deliver scalable, tech-enabled services across Canada and beyond, leveraging its integrated model of owned bins, trucks, and proprietary ERP.

The loss of skeletal muscle mass and function is a major public health concern, reducing quality of life and independence for many individuals. Both on Earth and during spaceflight, muscle unloading leads to atrophy, loss of strength, and glucose intolerance. The project aims to uncover the cellular mechanisms driving muscle atrophy during unloading and inactivity, such as prolonged bed rest, using advanced RNA-sequencing technologies. Furthermore, the research team will also investigate the underlying protective effects of an exercise countermeasure. By performing long-read RNA-seq analyses on a well-characterized cohort of participants, they will generate valuable scientific knowledge that could pave the way for new treatments to prevent or combat muscle atrophy and weakness. These findings will not only help astronauts stay healthy during space missions but also benefit people on Earth who experience muscle loss due to immobilization, critical illnesses, or chronic diseases like diabetes and cancer.

This project will analyze pre-existing data collected by the Bio-Monitor biometric shirt in nine astronauts (two women) before, during and after missions to the International Space Station. Specific goals of this project include the un-intrusive assessment of astronaut sleep, fitness and blood pressure continually over long-duration (48-hour) recordings. Sleep is paramount to astronaut health, with numerous pre-existing reports of impaired sleep during flight. By assessing how sleep changes over the course of a mission with previously validated analyses, strategies to improve sleep quality could be developed. Astronaut fitness can be measured from Bio-Monitor signals. Finally, these analyses will allow for improved understandings of changes to astronaut health over the course of 6-month missions; they will also support the use of the Canadian-produced Bio-Monitor shirt for future missions to the moon.

Design a modular continuous cooking commercial oven capable of producing specialty and commodity products for large scale food producers.

Support provided to AMII to support teacher professional development program to enhance their teaching about AI and ML for students K-12.

Support provided for the LDS STEAM Summer Camps to support vulnerable, at-risk children aged 6-12 with learning and related disabilities. The camps incoprorate assistive technologies and robotics programming for STEAM-focused learning experiences.