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.
$49,792.00
Apr 1, 2022
For-profit organization
Implementing Machine Learning Capability for Intelligent Off-Grid Sensors
988389
Luau Data Corp. develops and manufactures remote monitoring solutions for sites that do not have access to mains. This project will support the development of product feature enhancements that will increase the value proposition with potential clients.
$63,000.00
Jul 20, 2017
At the intersection of Machine Learning and Copula Modelling.
PGSD3
$4,500.00
Aug 10, 2017
Using machine learning to predict age of cancer onset
URU
$150,000.00
Mar 27, 2018
RADARSAT M2M Cloud Platform
The project intends to provide cloud-based processing for RADARSAT-2 and RCM via the SkyWatch platform to enable machine to machine integration. The service will facilitate Earth Observation applications combining RADARSAT data with data from other missions including Sentinel-1 and Sentinel-2 as well as very high resolution commercial products.
$74,000.00
Apr 3, 2023
For-profit organization
Design of faster more intuitive Double Head Machine
1005470
Intend to build a wonton folding machine using lessons learnt from the prior machine built about 8 years ago.
$25,000.00
Dec 13, 2017
Low-Complexity Speech Recognition for Next Generation Vocal User Interfaces
EGP
$50,000.00
Oct 15, 2023
For-profit organization
Development of Financial Intelligence Engine
1009537
Implementing Machine Learning (ML) and Artificial Intelligence (AI) to enhance the forecasting capabilities a new proprietary platform that enriches legacy accounting software data, reduces time-consuming day-to-day financial tasks, and provides informed recommendations to scenario planning based on industry benchmarking.
$30,000.00
Nov 1, 2023
For-profit organization
Youth Internship - Health Service Navigator Development
1012796
Secure a dedicated resource to research and curate data that will populate the Machine Learning Model that drives the Health Service Navigation application.
$900,000.00
Jun 3, 2024
For-profit organization
Creating a Visual Digital Thread & Introducing Artificial Intelligence within a Design Engagement System
1018599
The overall objective of the research project is to accelerate CoLab’s R&D efforts across a number of key focus areas, including web-based viewing of engineering data, machine learning, artificial intelligence, Model Based Definition (MBD) and Model Based Systems
Engineering (MBSE).
$72,000.00
Jan 1, 2025
For-profit organization
AI Assist: ARP AI Pilot Project for AI-Powered Pricing Software for Vacation Rental Properties
1026067
The Project will support the development of AI-powered pricing software for vacation rental properties, pilot testing data-driven pricing strategies, determining the target architecture, and establishing quantitative technical objectives to maximize revenue and occupancy through advanced data integration and machine learning models.