Grants and Contributions

Leveraging their team of professional engineers, technologists, and embedded systems specialists, the new machine will include more advanced capabilities. In parallel with hardware development, the company's software developers and data scientists will improve card recognition accuracy by building a robust set of ETL pipelines to secure high-quality training data which will be used to enhanced ML model performance.

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution.

Samco’s software development initiative focuses on enhancing existing machine PLC programming by integrating IoT and AI technologies to advance machine capabilities. The objective of the student program is to expose participants to current industry standards and practices, supporting their skill development in preparation for contributing to the evolution of advanced machine functionality.

Leveraging data from over 20 Antarctic campaigns and a control study in an Arctic community, the research team proposes to conduct a comprehensive study aimed at unravelling the complex interplay of factors that impact sleep in isolate confined extreme environments and to examine fatigue and fatigue prediction in this context, which would support the developing potential countermeasures for health risks in human spaceflight as well as potential performance-enhancing measures. By applying Earth-based analogs, the study will provide insights directly relevant to the risks of future Canadian investigations on the International Space Station or Lunar Gateway.

The recent observation of a blood clot forming in the neck vein of an astronaut on the International Space Station could have been related to low or stagnant blood flow in the vein as astronauts no longer have a head-to-heart gravitational gradient during spaceflight. The current study will use novel high-frame rate ultrasound investigations of blood flow in the neck vein during parabolic flights that replicate the microgravity conditions of spaceflight. From the ultrasound signals, the research team will use vector flow imaging to assess across the full width of the vessel the potential for areas of stagnant flow that could elevate the risk for blood clot formation. These results could lead to an inflight diagnostic screening test and a tool for evaluation of potential countermeasures to prevent this serious health risk for astronauts.

Extended exposure to the isolated and extreme conditions at the Concordia station may induce mental fatigue, a state associated with mood disturbances, safety concerns, and work errors. The BREEZE-project aims to comprehensively evaluate mental fatigue, sleep, and physical fitness during an Antarctic overwintering campaign by tracking psychological, (neuro)physiological, and behavioral parameters. Assessments will include questionnaires on fatigue, sleepiness, coping strategies, and mood, as well as polysomnography, exercise heart rate, genotype analysis, arterial oxygen saturation, actigraphy, and activity diaries. The study will focus on interindividual differences and their stability over time. Additionally, two countermeasures will be tested: acetazolamide supplementation to improve sleep quality and reduce mental fatigue, and oxygen-enriched physical exercise to enhance performance and consequently mitigate fatigue. Ultimately, the project aims to map mental fatigability changes and elucidate genotype-related variability in response to extreme environments. This multidisciplinary approach will advance understanding of fatigue mechanisms and inform development of effective interventions.

The objective of the EAF is to support community based projects across Canada that improve accessibility, remove barriers, and enable Canadians with disabilities to participate in and contribute to their community.

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 objective of the EAF is to support community based projects across Canada that improve accessibility, remove barriers, and enable Canadians with disabilities to participate in and contribute to their community.