Grants and Contributions

The project will develop a new Guided Pathway to help tenants across Ontario increase their awareness and knowledge of their rights and how to enforce them. A self-directed online course will also be developed to build the capacity of community workers across Ontario to assist their clients with housing-related legal issues.

The National Judicial Institute will develop online training in English and French for Canadian judges on the UN Declaration. Training modules will be developed through engagement with Indigenous communities, leaders and Elders, and Indigenous judges. The training will encompass the UN Declaration, Indigenous Laws, and the UN Declaration in relation to criminal law, child welfare, property rights, and self-governance.

Not a Project (Mandated or Core Funding)

Natural Language inherently contains ambiguities which often leads to inaccurate interpretations. While humans possess innate reasoning capabilities and access to vast reservoirs of knowledge to aid in clarification, intelligent machines face limitations in these areas. Knowledge-aware Compute Efficient Agents (KACE) addresses this challenge by leveraging complex reasoning abilities through the integration of information from diverse knowledge sources. Coupled with efficient tools, KACE facilitates Natural Language Understanding (NLU) of text, enabling non-technical business users to reliably and accurately query the data they need for critical in-the-moment decision making.

There is an urgent need to identify new therapeutic approaches for pain. The company has discovered a non-opioid based regulatory mechanism that provides potent pain relief. The company has validated its’ proprietary compounds on this new pain therapy target and the current project will concentrate on the chemical synthesis and biological validation studies to identify and develop back-up compounds as a risk mitigation strategy for the lead compounds currently in development.

The project will experimenting with data architecture pipes to train AI systems. The project develop a prototype of a product that will ultimately assists dietitians in better managing the needs of their community's residents.

The Project will support pilot deployment of DeepMSI based AI models into clinical environment, optimize compute architecture that will help speed up the analysis of real time data, improve quantification of DryAMD disease biomarkers including drusen, pigment and GA.

The project focuses on validating and adapting GBatteries' innovative battery management system (BMS), IntelligentBMS, for electric aircraft. The goal is to integrate IntelligentBMS into advanced Li-metal battery modules, which will be rigorously tested and validated for the industrial partner. The project aims to improve battery efficiency, charge speed, cycle life, cost, and safety, enabling commercially viable performance for electric aircraft using GBatteries' proprietary technology. Testing will occur under diverse operational conditions to ensure safety and reliability.

This project will focus on the on-site technology validation and process optimization of a proprietary nanotechnology-based direct lithium extraction (DLE) solution tailored to a local lithium producer's brine assets.

The project focuses on developing advanced techniques for the firm to enhance their performance and efficiency. By leveraging innovative methodologies, the firm aims to achieve significant improvements in their operational processes and overall outcomes, and ultimately deliver a better partner journey experience.