Grants and Contributions:

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Title:

Cosmological Distance with Machine Learning

Agreement Number:

945941

Agreement Value:

$7,000.00

Agreement Date:

Mar 13, 2020 - Mar 31, 2021

Description:

Novel Machine Learning models will be developped for the automatic generation of training data for learning to predict distances of extragalactic objects from images.

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:

Marne-la-vallée Cedex 2, FR 77455

Reference Number:

172-2019-2020-Q4-945941

Agreement Type:

Grant

Report Type:

Grants and Contributions

Recipient Business Number:

N/A

Recipient Type:

Academia

Additional Information:

This agreement has been amended 1 time(s). The end date of this agreements has been modified by 75 days.

Recipient's Operating Name:

Ecole nationale des Ponts et Chaussées

Recipient's Legal Name:

Ecole nationale des Ponts et Chaussées

Federal Riding Name:

N/A

Federal Riding Number:

N/A

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.

NAICS Code:

541710