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.
$4,500.00
Aug 10, 2017
Facial Expression Generation using Machine Learning
URU
$4,500.00
Aug 10, 2017
Machine Learning for Medical Image Analysis
URU
$4,500.00
Aug 10, 2017
Machine Learning for Oncology Waiting Times
URU
$4,500.00
Aug 10, 2017
Parallel Machine Learning for SPECT images
URU
$100,000.00
Oct 1, 2023
For-profit organization
Electro-Magnetic Acoustic Transducers for Non-Destructive Inspection of Laser-Welded Inter-Cell Connectors in Li-Ion Battery Packs
1009044
InspecTech will develop in-house Electro-Magnetic Acoustic Transducer (EMAT) hardware and integrate machine learning data analysis, for inspecting laser-welded inter-cell connectors in Li-ion battery packs.
EMAT is an emerging Non-Destructive Testing (NDT) technology that enables Ultrasonic Testing (UT) without the need for couplant, such as water; hence, EMAT overcomes the main barrier to using UT on Li-ion battery packs. The machine learning algorithm will refine the EMAT’s resolution to bring it to par with traditional UT. The machine learning enabled EMAT technology will have wide applicability to InspecTech’s other product offerings.
$25,000.00
Jul 2, 2020
For-profit organization
Youth Project – New Procurement Graduate Hire
953235
This project will allow the new grad to learn and develop skills in procurement / supply chain and with logistics in a manufacturing environment.
$25,000.00
Jul 2, 2020
For-profit organization
Youth Project – New Logistics Graduate Hire
953237
This project will allow the new grad to learn and develop skills in procurement / supply chain and with logistics in a manufacturing environment.
$660,000.00
Jan 30, 2023
For-profit organization
Multi-context self-learning system based on machine learning.
1002987
Support managers in their team management challenges through intelligent and automated software.
$50,000.00
Oct 15, 2018
For-profit organization
Health Evidence Portal
916661
Build an automated insight discovery platform within our OE MIND system, that uses data analytics and machine learning to automatically find insights and generate supporting reports.
$150,000.00
Aug 1, 2019
For-profit organization
Rubikloud OPTIMIZE Module Development: Machine Learning and Artificial Intelligence Integration
932892
To help retailers maximize their promotional strategy, we are incorporating machine learning and artificial intelligence technology into our promotional management platform through the new OPTIMIZE module.