Grants and Contributions

The Graduate will be trained to support and accelerate internal antibody expression, purification and biophysical characterization workflow.

The project is designed to support IRAP clients by providing specialized management consulting services through Certified Management Consultants (CMC). Each project will include up to 40 hours of collaboration with the management team of the SME. The objective is to identify and address the crucial issues facing a firm.

The project aims to create industry-leading digital transportation twins using floating car data (FCD).

Our studio is developing an inclusive puzzle-adventure game that combines wordplay, narrative progression, and personalization. This project will provide the youth career development in a Junior Artist role, including training in 2D asset creation, animation, and collaborative workflows to build skills in inclusive game development.

NATIONAL CTO: OCAD U CO, (the Design Studio of OCADU) will provide design critiques of product and services across industries using design thinking principles based on product and/or business challenges presented by clients.

The project aims to leverage generative AI methods, including architectures that incorporate Convolution Neural Network (CNN) to find correlation between the molecular ground state energy and violations in exact conditions for the eigenstate wave-function of a molecular Hamiltonian system. The electronic structure problem is the key problem for drug design, catalyst finding, and material development. With the development of new quantum and classical computing algorithms for this problem, there is a question of how accurate the new algorithm will be for compounds of industrial relevance. These compounds are usually large molecules or periodic systems with large unit cells, so the exact solution cannot be obtained using current computing resources. The project proposes to address the question of accuracy prediction by finding transferable correlations between quantities that one can evaluate for any approximate method and whose values are known for the exact wavefunction, the latter will be referred to as indicators. To obtain reliable energy accuracy estimates, the project team will use as a training set exactly-solvable model Hamiltonians and Hamiltonians for small molecular system where the exact answer is known. The machine learning CNNs will be trained to find correlations between energy and indicator errors on a training set. It will be used to predict the accuracy of any computational method generating a wavefunction for molecules of interest.

GeoGen is advancing its capabilities in geothermal energy through two primary projects: developing a professional website with a secure data room and building an internal physics-based reservoir modeling tool. Additionally, GeoGen is exploring artificial intelligence (AI) as a complementary learning initiative. These efforts aim to enhance GeoGen’s technical credibility, market readiness, and streamline client and investor interactions through centralized documentation and innovative technical solutions.

To add user-requested features to enhance existing patient management and support capabilities of the firm's Tenzr Remote Monitoring Platform.

The project entails hiring a female youth to contribute to marketing activities to promote the company's image and its products and services. The youth will leverage digital media and a prospect database to perform the task. The assignment may include content marketing, including website, blog posts, and other social media vehicles. It may also include marketing to a database of prospects. The youth will also be assigned to create various marketing collateral, such as brochures, etc. The youth will gain significant practical marketing knowledge as a result of this on-the-job training.

The MonoRoll is the finer grinding prototype in the Conjugate Anvil Hammer Mill (CAHM) technology platform. A first prototype was constructed and initial testing was completed in 2020/2021 as part of the Canadian government's CrushIt! Challenge. The technology was runner up in the challenge after demonstrating a 25% energy savings compared to a ball mill for the same grinding performance. Following the challenge, the development work was paused so that the CAHM team could focus on the coarser grinding CAHM machine, however the team aims to leverage the learnings from the CrushIt! Challenge work to realize the projected 50% energy savings compared to conventional ball milling.