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.
$258,976.00
Nov 15, 2018
For-profit organization
Ginnie AI /Machine Learning Integrations
913941
The purpose of this project is to enhance and broaden the capabilities of the content generation system GINNIE with machine learning.
$250,000.00
Oct 8, 2018
For-profit organization
On-line STEM learning system
914095
The platform will be designed with personalized learning journeys using AI for students with engagement through gamification, virtual tools / simulators, virtual reality experiences, certificate badges and assessments aligned with.
$200,000.00
Oct 15, 2018
For-profit organization
Intelligent Categorization through Machine Learning
914192
To provide a Survey Engine that is able to categorize data intelligently without the use of human intervention. In the attachments we have included a high level graphic visualization of the architecture of the software.
In the corporate information package, we have included a typical use case for one our customers and in a separate attachment, included a typical research report.
$50,000.00
Jul 27, 2020
For-profit organization
YEP - Machine Learning Specialist
952945
The firm's machine learning team is developing the “Interactive Tutoring” feature which aims to further establish the interactive, conversational capabilities of the intelligent tutoring system (AI Tutor) developed by the company.
$39,750.00
Nov 27, 2019
For-profit organization
Machine Learning Powered Sales Technologies
940805
We help companies sell more, sell faster and sell easier by using ML-powered tools. In this project, we're building on our success with local clients such as Clio and expanding to the US market.
$232,700.00
Jan 6, 2020
For-profit organization
ZE-MLP: Machine Learning Platform
944189
ZE will augment its ZEMA product suite with a framework for integrating Machine Learning models into the existing data pipeline, providing better adherence to customers' Service Level Agreements.
$0.00
Sep 5, 2020
Academia
Cosmological Distance with Machine Learning
945937
The project will work on developing deep learning models that can utilize the vast amount of publicly available datasets. The group specializes in applying machine learning for geometry and low-level computer vision.
$7,000.00
Mar 19, 2020
Other
Cosmological Distance with Machine Learning
945940
In particular, different classical estimators of galaxy distances in astronomy will be reviewed and provide a detailed account of their error budget, that will be an essential input to the supervised or semi-supervised machine learning algorithms. Expertise on spherical geometry methods and Cosmic Microwave Background full sky analyses will be leveraged for this project.
$11,000.00
Dec 18, 2020
Academia
Cosmological Distance with Machine Learning
963413
The team will work on developing deep learning models that can utilize the vast amount of publicly available datasets. The group specializes in applying machine learning for geometry and low-level computer vision.
$7,000.00
Mar 19, 2020
Other
Cosmological Distance with Machine Learning
945940
In particular, different classical estimators of galaxy distances in astronomy will be reviewed and provide a detailed account of their error budget, that will be an essential input to the supervised or semi-supervised machine learning algorithms. Expertise on spherical geometry methods and Cosmic Microwave Background full sky analyses will be leveraged for this project.