# Machine Learning and the future of Supernova Cosmology

## TL;DR

Machine learning techniques are essential for optimizing supernova classification in large-scale surveys, enabling their effective use as cosmological standard candles by adapting algorithms to astronomical data peculiarities.

## Contribution

The paper reviews recent developments in automatic supernova identification and classification systems tailored for cosmological applications.

## Key findings

- Enhanced supernova classification accuracy
- Algorithms adapted to astronomical data peculiarities
- Facilitation of supernova use as standard candles

## Abstract

Machine Learning methods will play a fundamental role in our ability to optimize the science output from the next generation of large scale surveys. Given the peculiarities of astronomical data, it is crucial that algorithms are adapted to the data situation at hand. In this comment, I review the recent efforts towards the development of automatic systems to identify and classify supernova with the goal of enabling their use as cosmological standard candles.