Grants and Contributions:
Title:
Automatic Contextualization of Discrete Event Data
Agreement Number:
918651
Agreement Value:
$145,000.00
Agreement Date:
Dec 3, 2018 - May 30, 2019
Description:
The next step along Praemo’s AI machine learning technology roadmap is the development of Reinforcement Learning. The project focuses on building tools to automate the process of contextualizing data from discrete event processes, such as manufacturing. Once implemented this will significantly reduce the amount of human intervention in the machine learning process by directly detecting correlations with inputs to provide actionable insights..
Organization:
National Research Council Canada
Expected Results:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Location:
Kitchener, Ontario, CA N2H 6R4
Reference Number:
172-2018-2019-Q4-918651
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
723924528
Recipient Type:
For-profit organization
Recipient's Legal Name:
Praemo Inc.
Federal Riding Name:
Kitchener Centre
Federal Riding Number:
35045
Program:
Industrial Research Assistance Program – Contributions to Firms
Program Purpose:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Coverage:
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.
NAICS Code:
541514