Grants and Contributions

Recruit a recent graduate into an HR/Support role with the goal of enhancing team management, hiring processes, and internal operations. The initiative aims to bring on and develop an HR professional who can innovate in talent acquisition, employee engagement, and organizational efficiency. This project will help the company better manage its workforce, fostering long-term growth and aligning HR practices with evolving business needs.

The project will support development of intellectual property capacity within the firm.

Existing key management systems using Quantum Key Distribution (QKD) technology are based on trusted relays in order to overcome the distance limitations of QKD solutions. This approach has a strong drawback: the attack surface of these systems is proportional to the number of the nodes, as a single compromised relay can potentially learn the keys of all users. This project will implement a different approach to integrate Twin-Field (TF) QKD in scalable infrastructure, by relying on a distributed trust architecture named Distributed Symmetric Key Exchange (DSKE). The combination of DSKE and TF-QKD allows to build a scalable network, called DSK

One of the great successes of computational chemistry is the Density Functional Theory (DFT). By expressing the energy of a system in terms of a functional of the density instead of a wave function, the problem of determining the correct electronic structure for a given nuclei configuration becomes classically tractable. However, the exact form of this energy functional is unknown, leaving us with approximations which break down when electrons are strongly correlated. The design of better functionals is an active research field. The Project proposes to get around this difficulty by performing Hamiltonian simulation on quantum computers for a wide variety of nuclei configuration from which an accurate electronic density is extracted, total energy and pair correlation. By performing a regression on a database generated in this manner, a better approximation to the density functional could be learned. In turn, it would allow to use DFT for problems beyond the reach of the usual approximate functionals. Even when fault-tolerant quantum computers come into existence, one cannot expect them to be widely available. Therefore, the Project aims at gaining the most out of every computation; The recipients believe that applications that extend the abilities of classical computers are one of the best uses for quantum computers. Because of the considerable classical computation infrastructure already available, this project will allow the discovery of novel materials and molecules faster than exclusive use of quantum computers.

Improve automatic exercise tracking with wearables by building a cutting-edge model capable of tracking unlimited, custom exercises for uses.

This project will establish a new method for Raven Connected to detect, report and share information in near real-time for road construction and closure activity. New AI models will be created utilizing historical video telematics data generated by Raven+ devices deployed in delivery vehicles across Ottawa. These models will then be field-tested and further improved upon in Ottawa before deploying to other cities (Toronto & Atlanta) across North America via additional Raven+ devices. The end goal is to provide high-quality and timely road construction / closure data to municipalities, infrastructure and drivers in formats they can action on through leveraging their existing tools, technologies and workflows.

We are currenting working to significantly improve the time in which it takes us to create the 3D character models for our virtual patients used by our healthcare simulation training product InvolveXR.

By first streamlining our technical art pipeline into a more procedural and automated workflow, we can then leverage various new generative AI techniques to further drive that pipeline and ultimately provide simple tools to our medical educator clients, eventually allowing their scenario training creation to be as simple as typing in natural language.

The project will support development of intellectual property capacity within the firm.

The purpose of the Oceans Management Contribution funding is to support the development and implementation of oceans conservation and management activities in Canada.

Providing humanitarian aid to families affected by flooding in the province of Tata.