IACDEEP: Machine Learning in Astrophysics

Start year
2019
Organizational Unit
RESEARCH DIVISION

Grants related:

General
Description

Internal transversal research project that aims to bring together the know-how in machine learning and deep learning in the IAC. This project encapsulates the knowledge of machine learning in the center and is the point of consultation or discussion for any problem related to machine learning. In this sense, it is a line of research that is a bit peculiar due to its transversality and consultative nature, but we believe that it can generate the seed to create a collaborative environment between different IAC research lines around the topic of machine learning.

More details on https://iacdeep.github.io/home/

Principal investigator
Project staff
Collaborators

Related publications

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  • Artificial intelligence at the service of astrophysics
    Machine learning reveals the merging history of nearby galaxies
    Advertised on
Type
Research
State
In progress
https://iacdeep.github.io/home/
AEI

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