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.
$323,400.00
Mar 20, 2024
Academia
Hybrid quantum-classical computing for quantum chemistry and machine learning
1016014
The workhorse density-functional theory (DFT) computational methods are time-consuming and of limited accuracy for strongly correlated systems like the metal-oxides commonly used for catalysis. (Classical) Machine learning (ML) is showing great promise in reducing the number of expensive DFT calculations in the design process. Quantum computing (focusing on hybrid approaches using Noisy Intermediate Scale Quantum (NISQ) computers for parts of the problem) is showing great promise to contribute to opening both bottlenecks by facilitating the use of more accurate quantum chemical methods and accelerating machine-learning approaches beyond the possibilities of classical ML. The proposed research will be directed along two complementary streams: i) quantum computing for quantum chemistry and ii) quantum machine learning.
$1,934,966.00
Aug 9, 2018
Machine Learning-Driven Approach for Autonomous Horticulture Production
ASP-041
AgriScience Program Project component accelerate the pace of innovation by providing funding and support for pre-commercial science activities and cutting-edge research that benefits the agriculture and agri-food sector and Canadians.
$37,800.00
Jul 1, 2020
For-profit organization
YOUTH - SightScale Cloud and Machine Learning Enhancements
952885
The Youth will add new features and capabilities to the SightScale software application to address the needs of new customers and to facilitate revenue / customer growth for the Firm.
$230,000.00
Jun 1, 2020
For-profit organization
Machine learning powered network performance and security optimization
952975
Create a software solution that can predict performance or security problems for a particular device on a network before these problems happen, or automate a fix/workaround until it can be addressed.
$264,000.00
Mar 6, 2020
Academia
Silicon photonics multiplexer design with machine learning methods
946228
The key high-level objective of this project is to leverage artificial intelligence (AI) and machine learning (ML) techniques to develop silicon photonics components for signal multiplexing.
$250,000.00
Feb 1, 2023
For-profit organization
Machine learning based beamforming algorithms for satellite communications
22STDPR22
The project involves the exploration, prototyping, and testing of machine learning (ML) beamforming techniques. A testbed will be built to train and test models for inferring Angle of Arrival (AoA) and Angle of Departure (AoD) on a phased array antenna system.
$250,000.00
Aug 8, 2022
For-profit organization
Machine Learning: Improved Forecasting and Product Supply Management
997718
This Project will further advance and elevate with the design and development of Machine Learning to improve how Enterprises forecast customer/order demand, as well as how product supply is managed.
$228,800.00
Dec 1, 2021
For-profit organization
Project Watt (Machine Learning Applications in Pipeline Hydraulics)
983012
The technology project being developed is an energy optimization platform that will recommend optimal pressure setpoints, pump configurations and manage DRA (Drag Reducing Agent) injections in real-time using SCADA / historical data for large scale pipeline operators.
$75,000.00
May 20, 2024
For-profit organization
ARP - Inventory prediction manager for machine learning
1018399
Automate the company's current SAAS solution to improve data training time for inventory prediction.
$30,000.00
May 27, 2024
For-profit organization
Youth: Machine Learning Analysis of Novel Seed Data
1018973
The Youth hire will support the Firm in evaluating and refining seed scanning algorithms.