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.
$150,000.00
Jun 1, 2020
For-profit organization
Data Interconnectivity - Phase II
953922
SME will also aim to develop, though Machine Learning, a risk management tool for clients to predict exposures, creating revenue opportunities.
$50,000.00
Jun 1, 2021
For-profit organization
Youth - Sensor Fusion Based Guidance System for Augmenting Heavy Equipment Operations
971620
Our products combine hardware & software solutions and leverage proprietary Machine Learning and Artificial Intelligence (AI) technologies to provide an awareness of surroundings and situations and to convey essential information to operators.
$211,200.00
Oct 1, 2022
For-profit organization
Eurostars - 2121 SRAIR: Smart Roads for Automated Incident Recognition
996211
An AI model will be trained with machine learning techniques to detect whether an accident is the cause of a traffic congestion.
$499,000.00
Dec 1, 2022
For-profit organization
Development of additional features for mineral identification AI
1001742
This project will address major challenges in the industry by improving productivity and consistency of core logging through Machine Learning (ML), a subdomain of Artificial Intelligence (AI).
$150,000.00
Jul 1, 2023
For-profit organization
Optimizing Search and Predicting Flight Delays
1008476
We will do this using historical data to augment our current machine learning capabilities and create new opportunities for VI itineraries.
$3,000.00
Aug 14, 2023
For-profit organization
EUREKA Cluster - ITEA – Participation in ITEA 2023 PO Days in Berlin
1009203
This year SAMUEL project is selected for the Innovation for its IA Additive Manufacturing partner search, Machine Learning solutions to predict build time, part orientation, etc.
$304,900.00
Jan 2, 2024
For-profit organization
Data Visibility
1014570
Our platform will use cutting-edge data analytics, machine learning models, and design innovation to enable mass adoption without requiring an IT background.
$200,000.00
Oct 16, 2023
For-profit organization
Fiber Optic Monitoring of Mining Conveyors
1011443
This project aims to develop the capability for autonomous identification of faulty conveyor components (idlers) through use of advanced machine learning (ML) algorithms to improve operating efficiencies and preclude the need for high-risk conveyor maintenance activities.
$699,999.00
Jul 31, 2023
For-profit organization
Happy Fish 2
1009997
Collecting a previously unobtainable set of data, machine learning techniques can be used to monitor, alert, and react to distribution shifts in that data.
$250,000.00
May 22, 2023
For-profit organization
Enhanced Recommendation Models and Generation of Custom Dynamic Recommendations within the MESH Diversity Intelligence TM Platform
1006308
The enhancements delivered in this project will allow the MESH Diversity Intelligence™ platform to deliver even more powerful insights and tailored recommendations to our customers at the individual, team, and organization level.
By leveraging machine learning, artificial intelligence (AI) and third-party tangential data, MESH’s clients will be able to generate insights, recommendations and action plans to deploy within their organizations to better deliver on their DEI objectives