Grants and Contributions

This project aims to develop an IoT-enabled system to monitor and manage livestock water usage.

Use of deep neural networks to optimize the synthesis of biomolecules by genetically modifying microorganisms, focusing on creating high-performance synthetic enzymes tailored for diverse industrial applications.

This project involves foundational research for developing quantum algorithms for classically intractable tasks in artificial intelligence (AI). Quantum physics principles and phenomena discovered in the last decade will be explored for their use in computationally challenging tasks in AI. Specifically, the project will embed primitive problems for these tasks into quantum circuits with thermalizing quantum dynamics in constrained Hilbert spaces and develop techniques to characterize the dynamical properties of these quantum systems. Using these physical principles, quantum algorithms will be formulated for complex problems in AI, namely probabilistic inference and automated planning, and the quantum resources required to tackle these will be estimated.

The Project will support the development of an innovation plan to explore integrating AI into the Firm’s core business.

The Project will support the assessment of data quality and data sources for AI project development. The project may also characterize and document aspects of data for AI and Data Governance.

As part of the international consortium project “I2DT”, this project will focus on creating an interoperability framework, methodology and tool support for constructing digital twins that can reflect complex systems with large-scale heterogeneous data and interactions. The project will address core technologies and application domains of interoperable digital twins and apply them to relevant areas like industrial production, smart cities, infrastructure asset management, wildfire protection and renewable energy resources. The project will also advance model-based development, integrate machine learning components, define a unified reference architecture and provide tool support for both engineering and operating digital twins.

Bench Brewing wants to assist with the hiring of young talent to augment its current quality assurance and laboratory testing for its products including Research and Development. This will be done in the Laboratory/Operations group where the qualified graduate will do lab testing and plating of all our products to ensure no cross contamination. The graduate will also leverage the company's new ERP system to store and analyze data to ensure quality and stability of our craft beverages. The goal is to assist the new graduate to get career skills while employed in a good job and work environment with mentorship from senior leadership.

This project will support the construction of a business development and networking platform using data science, artificial intelligence (AI), and machine learning (ML) techniques.

This project will be focused on hiring a youth employee to help enhance our firm's operational capabilities.

Over a six-month project timeline, Compusult will adapt our current Nanuk UGV products to develop, demonstrate, test, and validate the FARMR platform, a UGV system supporting agricultural operations.

International Co-Innovation Action Program (ICAP) project to prepare the firm to enter into future international co-innovation work.