Grants and Contributions
About this information
In June 2016, as part of the Open Government Action Plan, the Treasury Board of Canada Secretariat (TBS) committed to increasing the transparency and usefulness of grants and contribution data and subsequently launched the Guidelines on the Reporting of Grants and Contributions Awards, effective April 1, 2018.
The rules and principles governing government grants and contributions are outlined in the Treasury Board Policy on Transfer Payments. Transfer payments are transfers of money, goods, services or assets made from an appropriation to individuals, organizations or other levels of government, without the federal government directly receiving goods or services in return, but which may require the recipient to provide a report or other information subsequent to receiving payment. These expenditures are reported in the Public Accounts of Canada. The major types of transfer payments are grants, contributions and \'other transfer payments\'.
Included in this category, but not to be reported under proactive disclosure of awards, are (1) transfers to other levels of government such as Equalization payments as well as Canada Health and Social Transfer payments. (2) Grants and contributions reallocated or otherwise redistributed by the recipient to third parties; and (3) information that would normally be withheld under the Access to Information Act and the Privacy Act.
$50,000.00
Nov 1, 2021
For-profit organization
COOL Maps - Machine Learning and Thermal Maps To Detect Inefficient Building Cooling
981783
The goal of the COOL Maps Pilot is to determine if machine learning techniques on airborne acquired thermal data can be used to model building air conditioning efficiency.
$32,468.50
May 22, 2020
Artificial Intelligence, Machine Learning and Privacy: From Threats to Solutions
This project will explore known privacy risks associated with artificial intelligence and machine learning, identify popular use cases, and create a venue to discuss their privacy-associated risks.
$200,000.00
Nov 1, 2018
For-profit organization
Development of law-based machine learning algorithms
914244
We are seeking to develop tailored machine learning algorithms with the aim of streamlining the development processes of new Legal Foresight products across jurisdictions. We expect the implementation of customized, proprietary machine learning algorithms to reduce the time spent on Application of AI & Testing by 50%, or 10 business days.
$195,000.00
Sep 1, 2021
For-profit organization
Building an enterprise platform for digital health companies to perform compliant machine learning
978358
In listening to our existing and potential customers and performing market research, we’ve identified a market need for privacy compliant machine learning machine learning on datasets containing protected health information (PHI).
We’ve identified that Amazon Web Services (AWS) offers best-in-class machine learning resources that maximize performance and cost savings given their configuration of Nvidia GPUs.
$156,000.00
Apr 1, 2018
For-profit organization
Mobile CARE Application Project
903579
In conjunction with the neuroscience and machine learning departments of the University of Alberta, DriveABLE has been working to validate its scoring platform for use in a mobile application (called CARE App).
$24,250.00
Apr 25, 2017
Data analytics to detect, isolate and predict anomalies in a vaccine production process
EGP
$30,000.00
Aug 1, 2023
For-profit organization
Youth - Developer
1008355
Youth candidate learning and working on Health and Medical as well as Smart Manufacturing projects enabling AI-based optimization and vision systems. Additionally, the candidate will be delving into research concepts and engineering in heavy compute-based machine learning and inference model operations.
$145,000.00
Mar 1, 2019
For-profit organization
Optimizing Embedded Machine Learning on Mobile Devices
923274
Identify, test, and prototype machine learning (ML) algorithms that can be optimized for the compute architectures of smartphones in order to implement an intelligent personal agent for industrial workers.
$75,000.00
Sep 1, 2022
For-profit organization
Development of an Artificial Intelligence powered Predictive Emissions Monitoring Systems (PEMSs)
995493
The project will use artificial intelligence (AI), specifically machine learning (ML), technologies to develop drift detection systems, and notification systems. The ML algorithms to be tested include but not limited to DBSCAN, Isolation Forest, K-nearest neighbor (k-NN), K-means, Support Vector Machine (SVM), Recurrent neural networks (RNNs).
$1,000.00
Oct 24, 2024
Individual or sole proprietorship
Wildfire Smoke Plume Rise
(project seeks to combine machine learning (ML) and numerical weather prediction (NWP) to produce a deterministic lightning forecast over the United States and Southern Canada)