Grants and Contributions

Probability theory is a framework for representing uncertainty – due either to variability or unmodelled, unobserved factors – in a multitude of observed quantities. Probabilistic modeling enables robustness to noise and uncertainty in a number of autonomous systems, and through the widespread adoption of probabilistic algorithms. Probabilistic modeling was responsible for robotics transitioning from fragile, hand-tuned systems, to systems that are robust to operating in the natural world with noisy sensors. In order to interact with a complex and not-perfectly-known environment, both robots and biological creatures need to represent and manipulate probabilities. While probability-based mathematical formalisms such as Bayesian Optimization exist, they often assume an unlimited amount of computing power, and it is unclear how they can be mapped into more realistic physical hardware, or into artificial neural networks. In recent years, a variety of methods have been developed to start to connect probabilistic information with neural networks. The overall goal of the project is to further develop these techniques and to apply them to the flexible soft-robotics systems

Optical interferometry is the foundation for applications ranging from imaging and astronomy to structural measurement. Optical interferometry typically involves a coherent light source combined with passive optical elements followed by observing interference through measurement. Without quantum resources, in single parameter detection of a phase ϕ , the imprecision of the inferred phase will scale as , where is the intensity of the source. The team will aim to explore interferometry approaches that are potentially boosted by use of active components to imprecisions . In particular, the researchers will make use of nonlinear optical parametric processes that generate quantum correlations in the probing light. This approach is also known as SU(1,1) interferometry. The project will span fundamental mathematical properties of such systems to realistic considerations such as loss and noise in order to bring these tools closer to practical applications.

The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 49 electric vehicle chargers in Ontario.

This project is to improve energy efficiency in Canada's residential, commercial, and institutional building sector.

This project is mostly related to technology demonstration.

This project is mostly related to increased knowledge and collaboration with stakeholders and/or international organizations.

The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 54 electric vehicle chargers in Ontario.

The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 2 electric vehicle chargers in Ontario.

The purpose of this agreement is to enhance the ability for Indigenous Peoples to engage and participate in projects related to enabling infrastructure for critical minerals development.

This project will assess opportunities or diversification and optimization in a forest products facility.