Grants and Contributions

This project will support increased partnerships and communication about the Siksika justice program, as well as provide cultural learning for clients.

The “Our Collective Futures” project is an Indigenous-designed and governed project that aims to strengthen the climate resilience of Indigenous Peoples in the Indo-Pacific through Indigenous-led climate action. Peer-to-peer learning between First Nations in Canada and abroad seeks to contribute to enhanced awareness and capacity to develop and implement climate solutions and increased access to these solutions for Indigenous Peoples, in particular women and youth.

Leveraging a proprietary wireless network, machine learning and big data analytics, we help growers manage risks associated with frost, pollination, bloom, disease and harvest.  

Fruit Machine Atlantic Tour & Commemorative Activities

Support commercialization activities for new adaptive web-based advanced learning solution

Using artificial intelligence and machine learning approaches, link metabolomic profiles to individual physiological, environmental, dietary, medical, and exercise data to gain insights into sex-specific adaptative mechanisms, pathogenic pathways, and risk factors of spaceflight.

Using the NIRSpec instrument on the JWST, this project will be monitoring the ultra-hot Jupiter WASP-76b as it completes a full orbit around its host star to paint an accurate picture of the atmosphere's chemical composition. Ultra-hot Jupiters like WASP-76b feature extreme temperature differences between their permanent day and night sides, which makes the interpretation of observations more complicated. To address this, the planet's full 3D temperature structure and cloud cover will be measured. This will provide a detailed understanding of WASP-76b's atmospheric chemistry and its formation history – ultimately shedding light on the question why ultra-hot Jupiters exist at all.

Development and deployment of advanced analytics and machine learning EMIS modules will ensure energy consumption of is full optimized, losses are avoided, and carbon emissions are minimized.

Acquisition of equipment: The project aims to increase the production capacity and productivity of a company specializing in engine machining.

The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.