Grants and Contributions

The project aims to develop a method for tracking the position of x-ray imaging equipment during orthopedic surgery that seamlessly integrates with the operating room environment.

As part of the international consortium project “[Li-PICK]”, this project will develop a complete process for converting spent lithium ion batteries back into cathode active material (CAM), and battery-grade lithium carbonate.

SMARTBUILD is developing SMARTHEALTH, a total human health and safety platform for our construction management software. SMARTHEALTH features the first industry-specific wearable sensor that attaches to the ratchet suspension of any approved hard hat for monitoring worker health metrics, including body temperature.

Assessment and analysis of business growth plan including marketing and sales process development

The project focuses on developing numerical models (computational fluid mechanics and acoustophoresis) to predict the dynamics of plastic particles in water in the presence of acoustic forcing. The models to be developed as part of the project will identify and quantify the impact of acoustic forcing on the trajectory of microplastics in a confined environment, in order to control their trajectory under a wide range of conditions (temperature, current velocity, etc.). The model developed will then be validated in the laboratory by both the NRC and Polytechnique Montréal. The resulting tools will help the NRC design an instrument capable of controlling the movement of plastic particles and then measuring their size.

The project investigates the applicability and performance of fault-tolerant quantum computers in solving stochastic and partial differential equations motivated by generative modelling in artificial intelligence (AI). These differential equations arise as models of non-equilibrium dynamics in dissipative physical systems and provide the foundations of recent revolutionary AI models such as diffusion models. More generally, the project views the associated computational tasks as transports of ensemble states in stochastic thermodynamics and compares the performance of quantum algorithms with the fundamental limits of efficient generation of target ensembles by any machine, whether they are unitary and closed, or dissipative and open, quantum or classical, and artificial or biological.

Provides a recent computer science graduate with a career development opportunity in a lead software development role.

This project aims to develop a scalable session management system and a universal instruction execution API to integrate with various brokerages. The key objectives include designing and implementing a secure instruction transmission system using common authentication schemes, and enhancing the system to handle a broader range of symbols and asset classes using mapping techniques and global identifiers.

As a support for the user-centric development of Winboxer, the youth will assist with the design and implementation of robust connectors, data collection strategies, intelligent filtering systems, and threat detection features. The youth will collaborate with cross-functional teams to gather requirements, conduct competitive research, and assist in training machine learning models, ensuring all components are aligned with user needs and business objectives.

The Project will support development of intellectual property capacity within the Firm