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
Sep 1, 2024
For-profit organization
Platform Evolution: Enhanced Coaching and Reporting Functionaliy
1023236
Add increased platform functionality by developing machine learning or equivalent modules to enhance the over functionality of the platform to increase market appeal and maintain a competitive advantage.
$148,824.00
Aug 2, 2021
For-profit organization
Improving Arrival Optimization and Risk Management with Artificial Intelligence Explainability and Machine Learning Operations
978396
This project improves OCIANA™ by incorporating best practices in Explainable Artificial Intelligence (XAI) and Machine Learning Operations (MLOps) into two key capabilities: Vessel Arrival Optimization and Risk Management.
$50,000.00
May 9, 2022
For-profit organization
Actionable Insight and Realtime Emotion AI Analytics for Websites
989505
Emaww uses machine learning to analyze users’ gestures on websites, predict emotions and share emotion insight with e-businesses to improve users’ experiences and increase their conversion rates.
$50,000.00
Nov 1, 2021
For-profit organization
COOL Maps - Machine Learning and Thermal Maps To Detect Inefficient Building Cooling
981783
The goal of the COOL Maps Pilot is to determine if machine learning techniques on airborne acquired thermal data can be used to model building air conditioning efficiency.
$160,000.00
Oct 1, 2021
For-profit organization
Vehicle value prediction based on automotive marketplace data
981267
Software development project to use machine learning to improve the assessment of a vehicle’s value so auto dealers can more reliably bid on used vehicles from consumers.
$32,468.50
May 22, 2020
Artificial Intelligence, Machine Learning and Privacy: From Threats to Solutions
This project will explore known privacy risks associated with artificial intelligence and machine learning, identify popular use cases, and create a venue to discuss their privacy-associated risks.
$24,250.00
Apr 25, 2017
Data analytics to detect, isolate and predict anomalies in a vaccine production process
EGP
$30,000.00
Aug 1, 2023
For-profit organization
Youth - Developer
1008355
Youth candidate learning and working on Health and Medical as well as Smart Manufacturing projects enabling AI-based optimization and vision systems. Additionally, the candidate will be delving into research concepts and engineering in heavy compute-based machine learning and inference model operations.
$145,000.00
Mar 1, 2019
For-profit organization
Optimizing Embedded Machine Learning on Mobile Devices
923274
Identify, test, and prototype machine learning (ML) algorithms that can be optimized for the compute architectures of smartphones in order to implement an intelligent personal agent for industrial workers.
$75,000.00
Sep 1, 2022
For-profit organization
Development of an Artificial Intelligence powered Predictive Emissions Monitoring Systems (PEMSs)
995493
The project will use artificial intelligence (AI), specifically machine learning (ML), technologies to develop drift detection systems, and notification systems. The ML algorithms to be tested include but not limited to DBSCAN, Isolation Forest, K-nearest neighbor (k-NN), K-means, Support Vector Machine (SVM), Recurrent neural networks (RNNs).