Grants and Contributions

The proliferation of Large Language Models (LLMs) makes it possible for applications to be built that access those models and know as "intelligent applications" These applications will have wide ranging utility to streamline workflow and automate routine processes. The intelligence of the pre-trained data LLMs makes it possible to incorporate unstructured data and natural language

This project will result in the first application development environment for users to build intelligent applications based on LLMs and other unstructured data sources.

The University of Alberta proposes a three-year, $442,000 scholarship and fellowship program to advance research collaboration in Artificial Intelligence (AI) and Mechatronics with five leading Indo-Pacific universities: University of Queensland (Australia), Tohoku University (Japan), Nanyang Technological University (Singapore), Seoul National University (South Korea), and National Taiwan University. The initiative will fund 25 graduate student scholarships and 10 postdoctoral fellowships for research placements of 2–4 months, focusing on intelligent systems, robotics, healthcare AI, smart manufacturing, sustainable technologies, and ethical AI governance.

The proposed “TLE Trend Analytics” solution will redefine satellite monitoring and space intelligence through its automation and artificial intelligence capabilities, and will result in increased space situational awareness and increased reliability for the Canadian national defence.

(20STDPL35) The objective of this project is to increase the functionality of our HW/SW codesign methodology by targeting high performance on-board processing platforms that are made of CPU-FPGA architectures and target artificial intelligence applications in space, more specifically based on Deep Neural Network (DNN).

Proskida is enhancing the mechanical and electrical functionality of their power meter -purpose being to improve the data quality over the current iteration, so that statistical methods can be applied to find performance indicators.

We need to assess the feasibility to apply Artificial Intelligence for designing dental prosthetic frameworks.

Vertical takeoff and Landing (VTOL) vehicles provide highly practical means of delivering critical goods to remote locations in Canada. Recent advances in navigation sensors, satellite communication data links and AI-powered navigation payloads are paving the path towards safe and robust beyond visual line of sight (BVLOS) VTOL drone delivery. Current drone delivery systems exclusively rely on GPS waypoint navigation autonomy functions to support BVLOS operation with remote pilot supervision, but mainstream operational adaptation of these systems requires additional safety critical measures to guarantee navigational accuracy regulatory requirements, protection measures against injury to persons caused by system failures and warning and alerts to enhance the risk awareness of the system.
To this end, this project will develop Al-based multi-sensor navigation technology that adapts to the changes in sensor information, facilitates autonomous real-time trajectory planning, and provides pilot assistance for vehicles engaged in BVLOS operations in remote Canadian environments.

Developing AI platform for real-time diagnostics, monitoring and decision support for downhole drilling and midstream pipeline analytics and production efficiencies.