Grants and Contributions

This project will test hypotheses and experiment with new mechanisms to optimize a repeatable and scalable business process, which may result in new business methods for RCI’s Digital Marketplace.

This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for electronic health records or new digital health products.

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

The youth will be responsible for the readiness and quality of VR kits, including simulations, and provide troubleshooting support to clients.

This student will be working on a range of tasks (development, new evaluations, analysis, supporting infrastructure, systems to operationalize it and reporting tools) to accelerate the development of an AI system to evaluate call center call recordings to predict customer satisfaction and call resolution.

Leaky blood vessels in the retina are the main cause of vision loss in diseases like age-related macular degeneration and diabetic retinopathy – which collectively affect 380 million individuals worldwide. While there are drugs that can stop retinal leakage, the most reliable test for detecting it involves an injection of dye and necessitates emergency readiness in case of an allergic reaction. Hence, this test is invasive, complex, costly, and infrequently used. To address this challenge, we propose an innovative artificial intelligence (AI) approach that will simulate the invasive test from a non-invasive, injection-free photograph commonly collected in routine eye exams.

8 Bit Cortex has leveraged bootstrapping and non-dilutive funding to develop an MVP gamified learning management system (LMS) to enhance engagement and tracking of wellness data. 8 Bit Cortex has validated the market need for an LMS to host addiction recovery programs, enabling automated measurement and reporting of Addiction Recovery Capital consistent with the Alberta Recovery Model for stakeholders, such as government and insurers. Building on partnerships in youth support, employment services, and entrepreneur mental health, the project will integrate engagement metrics and outcome data to train an Agentic AI that recommends personalized recovery pathways, accelerating client healing, and enabling outcome-driven service delivery.

Canadian SKA Scientists pursue cutting-edge research which contributes to the advancement of our understanding of the universe through innovative instrumentation and technology and observational research. In addition, Canadian SKA Scientists support the Canadian astronomical community by developing, enhancing and maintaining the capacity to scientifically exploit SKA data.

As part of the international consortium project “Power-Oriented Natural Graphite for Advanced Battery Systems”, this project will demonstrate the potential of graphite process fines for battery use. Figure 1 (see on attached proposal) shows the NGAM production flow for LIB anodes, starting with mining and beneficiation to extract flake graphite. After crushing, grinding, and flotation, purity reaches =97%. Micronization (6–20?µm) and spheroidization improve shape and performance but generate ~50% low-value fines. These are typically discarded. RAINCA and NGCBM aim to revalorize them into high-performance, battery-grade materials, supporting sustainable graphite use.

Canada aims to reduce building-related greenhouse gas emissions by 40 45% by 2030 and reach net-zero by 2050. As buildings account for 12% of national emissions mainly from space and water heating retrofitting existing stock is essential. This Project, led by NRC and Toronto Metropolitan University (TMU), supports the development of standardized methods and tools for community-scale retrofit scenario analysis. TMU will enhance building archetypes with detailed data to simulate retrofits in Toronto (ASHRAE CZ5) and Montreal (ASHRAE CZ6), contributing a tool to assess retrofit potential across varying grid carbon intensities. These efforts , NB (CZ7) and Northern communities like Paulatuk, NWT (CZ8), where prototype models are being developed using aggregate datasets. Together, the Project aims to identify effective retrofit pathways tailored to diverse regional contexts, enabling communities -based decisionShediac and Paulatuk use cases.