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.
$25,000.00
Aug 23, 2017
Real-time, machine-learning weed detection system for autonomous agricultural machines
EGP
$24,758.00
Dec 13, 2017
Refactoring Feature-Structure-based Dialogue Systems: Software Engineering Meets Spokenx000D
Language Processing
EGP
$110,660.00
Jul 1, 2019
For-profit organization
Design and Development of Key Enhancements to Financial Software Platform
931539
Design and development of key enhancements to financial software platform including predictive user profiles, intelligent search bar, and site-wide persistent user profiles - by leveraging machine-learning and Julia.
$220,000.00
Dec 1, 2019
For-profit organization
Classification and Machine Learning Identification of Real-Time Well Behaviour - Phase 1
939707
Expert classification of most common downhole pump behaviours for 200 actively operated oil wells with reciprocating artificial lift in Western Canada to create training data set for machine learning algorithms.
$43,000.00
Jul 26, 2021
For-profit organization
Youth - Prompta BD1
976462
The Youth hired will support business development related activities, including driving expanded brand awareness, identifying & increasing demand for Prompta’s technological software platform which utilizes machine learning & NLP.
$460,000.00
Dec 3, 2018
For-profit organization
CIIP - South Korea: Machine learning for cervical cancer detection from images
918582
The project will apply D-Wave machine learning algorithms to improve the accuracy of Korean company Buzzpole's Cerviclinic A.I. telemedicine offering.
$244,000.00
Dec 3, 2018
For-profit organization
Multi-Project Ressources Scheduling
920556
Development of an Intelligent Multi Project Resource Scheduling (MPRS) application leveraging machine learning concepts to help project leaders (project director, project coordinator, staff planner, etc.) optimize resource allocation to projects.
$150,000.00
Sep 30, 2018
For-profit organization
Machine Learning as a Service (MLaaS) Distributed Marketplace
914766
This project aims to support the rising demand for Machine Learning/AI compute resources. iTel will accomplish this by creating a distributed marketplace for compute cycles at free market rates.
$48,640.00
Jul 6, 2020
For-profit organization
Vitall R&D Support - YEP One
954203
Certain operations are very manual and as AI and machine learning advance the manual processes are alleviated.
$200,000.00
Oct 15, 2019
For-profit organization
Cross-platform Artificial Intelligence (AI) decision support tool
936890
The project augments Lightship's general framework for events and automated information flow with modules that will allow simplified access to various machine learning systems provided by 3rd party vendors.