Grants and Contributions:
Title:
Hierarchical data vector representation and multi-task learning
Agreement Number:
946961
Agreement Value:
$100,000.00
Agreement Date:
Jan 1, 2020 - Jun 30, 2020
Description:
Hierarchical Vectoriser (H.Vec) is a multi task prediction model that provides multilayer representation of medical events. The objective of the hierarchical vectorizer is to improve predictive accuracy of Lydia AI by learning complex features at different levels and how these features interrelate.
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:
Toronto, Ontario, CA M5V 1M9
Reference Number:
172-2020-2021-Q1-946961
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
822054649
Recipient Type:
For-profit organization
Recipient's Legal Name:
Knowtions Research Inc.
Federal Riding Name:
Spadina--Fort York
Federal Riding Number:
35101
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:
511211