Grants and Contributions

This is an R&D project to test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process and to develop IP in business methods

The project will focus on development of an internal pricing repository for chemicals. This is to augment and expand the firm's existing chemical synthesis support technologies, by allowing for optimization of price.

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.