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.
$1,894.00
Mar 7, 2024
For-profit organization
CIIP PDA – Horoma AI Inc. – 2023-24
7457876 P014205001
The purpose of the Canadian International Innovation Program (CIIP) contribution agreement is to support Canadian SMEs identify international partners in CIIP target countries for industrial research and development collaboration that has good potential for commercialization.
$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.
$75,000.00
Apr 4, 2022
For-profit organization
AI based super-resolution image enhancement
988896
Super resolution involves synthetically increasing the resolution of gridded data beyond their native resolution. Typically, this is done using interpolation schemes (linear, non-linear), which estimate sub-grid-scale values from neighbouring data, and perform the same operation everywhere regardless of the large-scale context, or by requiring a network of radars with overlapping fields of view. Conceptually, a neural network may be able to learn relations between large-scale reflectance features and the associated sub-pixel-scale variability and outperform interpolation schemes. The project aims to use data fusion (various sources) to provide for super resolution of RADAR and multi-spectral data.
$30,000.00
Aug 24, 2020
For-profit organization
YEP - Land Use - Estrie 1
954938
Development in cartography of a new methodology for land use classification using Artificial Intelligence and deep learning including tools for evaluation and comparison of results.