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.
$661,650.00
Jun 1, 2020
For-profit organization
Machine Learning Project Validation
952485
Amii’s applied science team assists Canadian businesses in evaluating the viability and difficulty of machine learning projects.
$132,924.00
Jul 3, 2018
For-profit organization
Machine Learning Development Project
911180
Development of prototype applications of Machine Learning to qualitative natural language data and quantitative data
$50,000.00
Dec 1, 2018
For-profit organization
Machine Learning/Artificial Intelligence Feasibility for Business Optimization
916953
We intend to build a machine learning prototype based on our research and discovery to explore the use of machine learning/artificial intelligence that will provide actionable business insights and intelligence to help improve business operation for our clients.
$36,000.00
Apr 26, 2021
For-profit organization
Youth Internship -Jr. Machine Learning Engineer
970879
To provide employment for a recent graduate in the field of Machine Learning to provide support for further development of Deep Learning Model.
$48,000.00
Feb 1, 2019
For-profit organization
Deep learning enhancement
920982
Project will use machine learning techniques to improve internal processes and to make the service more efficient and reliable for clients.
$100,000.00
Apr 19, 2018
For-profit organization
7Geese Machine Learning
906612
This project will apply machine learning techniques to various features in the 7Geese application, to increase user adoption by providing insights and reducing the friction of common tasks.
$44,045.00
Sep 10, 2018
For-profit organization
Machine Learning Data Management
912386
Use of Machine Learning (ML) for the development, enhancement, and management of consumer and retailer data to create better customer shopping experiences for both retailers and their shoppers.
$39,000.00
Sep 4, 2018
For-profit organization
Machine Learning Framework Analysis
912998
Exploration of machine learning artificial intelligence for video analysis and the available AI vision frameworks and architectures as well as understanding of hardware requirements.
$499,500.00
Oct 1, 2018
For-profit organization
Machine Learning Recommendation Engine
914316
To create an automated employee-centric job scheduling platform
$30,000.00
May 6, 2024
For-profit organization
Machine Learning Software Engineer
1019292
Climative Inc. is recruiting a new graduate for a Machine Learning Engineer position to collaborate with the Director of Data Science. The project focuses on enhancing and scaling machine learning algorithms and conducting research and development (R&D) to evaluate and improve the performance and accuracy of the company's analytics solutions.