Grants and Contributions

Following a first-place success in the European Space Agency’s AutoICE Challenge, the Vision and Image Processing Lab (VIP Lab) is continuing to advance state-of-the-art machine learning algorithms towards the automation of operational sea ice mapping using remotely sensed and ancillary data.

The overarching objective of the Union Training and Innovation Program aims to strengthen apprenticeship training systems to better support a skilled, inclusive, certified and productive trades workforce by improving the efficiency and effectiveness of training provided. .The streams have the following specific objectives: .Stream 1 (Equipment) will increase investment in training equipment and materials for higher quality training, leading to a more skilled and productive trade workforce. .Stream 2 (Innovation in Apprenticeship) will support innovation and enhanced partnerships to address long-standing and complex challenges that limit apprenticeship outcomes. .Stream 3 (Women in Construction Fund [WCF]) will support projects that expand or replicate successful models to encourage more women to participate and succeed in apprenticeship and the skilled trades. Stream 4 (Trades Exploration and Experience Program) will support projects that encourage Canadians to explore, prepare for, participate and succeed in apprenticeship and skilled trades careers. This stream is limited to participants who are not registered apprentices..

Develop digital adoption plan

This one-year quantum sensor project is dedicated to de-risking this challenging technology transfer venture by directly addressing potential major scientific roadblocks, such as the impact of nanofabrication on sensitivity and to assess the technology readiness for a full transfer from the lab to the industry. In addition to miniaturization, the project aims to achieve a significant increase in sensitivity compared to commercially available products.

Automation in chemistry labs expedites experimentation and minimizes errors, facilitating more cost-effective material and drug discovery. The project aims to automate chemistry labs by developing transferable, adaptable, and generalizable robotic systems using Reinforcement Learning (RL). The project is designed to tackle the challenges of integrating robotic arms into chemistry labs, focusing on minimizing data requirements and enhancing real-world applications of RL. Key objectives include developing a model-based RL method that generalizes across different robotic platforms, creating robust and transferable RL agents, and ensuring the real-time adaptability of robots to evolving lab tasks. The project addresses the unique challenge of manipulating transparent objects and aims to implement high frequency control for agile and responsive robot behavior. By extending the Remote-Local Distributed (ReLoD) system to model-based RL, the project aims to refine the real-time learning and control of lab robots, setting the stage for widespread adoption of automated, efficient, and intelligent lab systems.

This grant enables development of a proposal for future research to be conducted across the range of American Pika to look at their genetic variation and how that might enable climate change adaptation. This animal model may serve to inform future climate change adaptation research in the area of genetic diversity within protected areas.

Develop digital adoption plan

The Imagining Canada's Future Ideas Lab: Global Health and Wellness for the 21st Century aims to stimulate and support interdisciplinary projects that present creative solutions to pressing global challenges.

The Imagining Canada's Future Ideas Lab: Global Health and Wellness for the 21st Century aims to stimulate and support interdisciplinary projects that present creative solutions to pressing global challenges.

The Imagining Canada's Future Ideas Lab: Global Health and Wellness for the 21st Century aims to stimulate and support interdisciplinary projects that present creative solutions to pressing global challenges.