Title:
Cosmological Distance with Machine Learning
Agreement Date:
Sep 5, 2020 - Nov 10, 2020
Description:
The project will work on developing deep learning models that can utilize the vast amount of publicly available datasets. The group specializes in applying machine learning for geometry and low-level computer vision. Preliminary results for galaxy images have already been obtained and this model will now be extended beyond proof-of-concept to correlate them between redshifts and distances of galaxies.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators.
Location:
Victoria, British Columbia, CA V8P 5C2
Reference Number:
172-2019-2020-Q4-945937
Report Type:
Grants and Contributions
Recipient Business Number:
108162470
Additional Information:
This agreement has been amended 1 time(s). The total amended value is 11,000 dollars.
Amendment Date
Nov 10, 2020
Recipient's Legal Name:
University of Victoria
Federal Riding Name:
Victoria
Federal Riding Number:
59041
Program:
Collaborative Science, Technology and Innovation Program – Ideation Fund
Program Purpose:
The Ideation Fund is intended to encourage, test and validate transformative research ideas generated by teams of NRC scientific personnel and external collaborators with complementary capabilities, acting as a demonstration phase for a continually-evolving suite of research and development (R&D) deliverables at the NRC. The fund supports exploratory research through two mechanisms: the New Beginnings Initiative and the Small Teams Initiative.