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.
$75,000.00
Jun 5, 2023
For-profit organization
ARP - Creation of a baseline methodology for anomaly detection for the development of robust AI models.
1007341
Generate synthetic data (normals and anomalies) to compensate for the lack of available anomalies. Subsequently, a machine learning (ML) model will be used to ensure the validity of the synthesized data.
$195,000.00
Jun 1, 2018
Not-for-profit organization or charity
Technical Analysis and Summary Recommandation for Companies Across Canada in Robotics, Artificial Intelligence (Machine Vision and Deep Learning) and Robotic Welding.
909130
Technical analysis of an SME situation regarding robotic, artificial intelligence (machine vision and deep learning) and robotics welding, aiming to a feasability study of these technologies implementation, process and estimated costs.
$500,000.00
Sep 1, 2020
For-profit organization
Velocity NEXT - Harsh Condition Survival Initiative
956192
• Reduce shock transfer to the MWD system over a wide frequency spectrum
• Create an MWD decoder that employs advanced machine learning algorithms to automatically optimize parameters and unify systems.
$230,000.00
Jun 1, 2020
For-profit organization
Massive Multi-Class Machine Learning (MMCML) for Tree Species Identification
949181
Research and develop software leveraging Massive Multi-Class Machine Learning (MMCML) to speed up and/or improve the accuracy of Forsite’s current approach to tree species recognition in LiDAR datasets.
$195,000.00
Apr 15, 2020
For-profit organization
Cost reduced, solar powered pipeline facility leak detection system
948402
High accuracy, solar powered, AI based video machine learning system for detection of hydrocarbon and gas/fluid leaks and security intrusions in the Oil and Gas, Mining and other applicable industries.
$712,780.00
Sep 1, 2021
For-profit organization
Scheduler AI
981446
Develop a Scheduler that uses AI/machine learning/predictive algorithms to automatically organize and schedule print jobs.
$203,350.00
May 3, 2021
For-profit organization
Improving a General Speech Model Through Research and Applied Learning
972420
Gain the ability to improve the accuracy of a general speech model for niche contexts with the tools available through the model, machine learning and NLP, and input from the user
$50,000.00
Apr 1, 2020
For-profit organization
Machine Learning for Electric Vehicle (EV) Parking Management
947716
Cypress Power's Machine Learning project will create unique algorithms to improve the utilization of commercial charging infrastructure, lower cost of operation and predict when charging stalls will be available for drivers.
$900,000.00
Jan 14, 2008
$30,000.00
May 15, 2021
For-profit organization
Data analysis and modeling
971668
Visual Defence will train youth to implement data annotation and quality processes that transform raw data and turn it into machine usable data to allow a supervised learning algorithm. Youth will learn about different types of data, data balancing, data quality, and data metrics related to AI.