Grants and Contributions

Engage expertise to assess developing new green energy storage

This project aims to enhance social cohesion in Ukrainian society by promoting gender- and conflict-sensitive assistance. Project activities include: (1) raising awareness of the need for gender- and conflict-sensitive approaches in humanitarian response, recovery and reconstruction efforts in Ukraine; (2) training and accompanying members of civil society and local authorities across Ukraine on gender- and conflict-sensitivity; (3) conducting peace and conflict analysis in targeted sectors and geographic regions to inform policy and strategy development; and (4) organizing analytical peacebuilding platforms (Peace Cafés) to bring together local civil society organizations; volunteers and veterans engaged in civic activities; local, national and regional authorities; and academics to discuss topics relevant to recovery and reconstruction in Ukraine.

Duologue Systems is a startup dedicated to developing advanced interactive knowledge bases that deliver structured and personalized information across organizational, cultural, educational, and other domains. Building on our foundational work, we aim to revolutionize how niche expertise is accessed and utilized by integrating sophisticated AI and natural language processing technologies. Our mission is to create specialized conversational AI models that capture the specificity and voice of experts in various industries, filling a critical gap left by generalized AI models.

The primary objective of this project is to develop a prototype solution that automatically aligns point clouds by identifying and matching control points. This will improve point cloud registration by optimizing the navigation trajectory, ensuring greater precision and consistency in data integration. This will result in increased accuracy/efficiency of point cloud registration, minimizing manual intervention and optimizing downstream workflows.

Expected Benefits

Improved Accuracy: Reduction in misalignment errors through automated processes.
Enhanced Efficiency: Decrease in manual effort and processing time.
Scalability: Ability to extend the solution for large-scale datasets.
Cost Reduction: Reduce labour costs

This project involves the assembly, integration, and testing of the earth observation system, including aligning the optics of the telescope and verifying system performance. By the project's end, Wyvern expects a fully tested engineering model to validate design and performance before launch.

Creating and advancing technical features of the software and implementing standard security practices to maintain confidentiality of user data.

Support research and development (R&D) projects led by college researchers in partnership with private sector, public sector or not-for-profit organizations based in Canada while encouraging collaboration with universities and/or other colleges.

Support research and development (R&D) projects led by college researchers in partnership with private sector, public sector or not-for-profit organizations based in Canada while encouraging collaboration with universities and/or other colleges.

Support research and development (R&D) projects led by college researchers in partnership with private sector, public sector or not-for-profit organizations based in Canada while encouraging collaboration with universities and/or other colleges.

Support research and development (R&D) projects led by college researchers in partnership with private sector, public sector or not-for-profit organizations based in Canada while encouraging collaboration with universities and/or other colleges.