---
title: "New AI Is Peering Into the Nuclear Cores of Distant Stars"
description: "Using a new AI system, researchers within the infant scientific discipline asteroseismology can learn more about the subsurface activity of distant stars."
date: "2018-11-16"
modified: "2018-11-16"
authors:
  - name: "Dan Robitzski"
    link: "https://futurism.com/authors/danrobitzski"
url: "https://futurism.com/artificial-intelligence-nuclear-cores-distant-stars"
categories:
  - "Artificial Intelligence"
  - "Off-World"
  - "Space"
tags:
  - "ai"
  - "artificial intelligence"
  - "space"
  - "stars"
---

# New AI Is Peering Into the Nuclear Cores of Distant Stars

![Using a new AI system, researchers within the infant scientific discipline asteroseismology can learn more about the subsurface activity of distant stars.](<https://futurism.com/wp-content/uploads/2018/11/artificial-intelligence-nuclear-cores-distant-stars.jpg>)
*\<em\>Image: NASA/Victor Tangermann\</em\>*

## It’s Too Quiet

You would never notice in the eerie, endless silence of deep space, but the stars that light up the night sky scream constant explosive roars as the nuclear reactions that power their cores and solar flares rumble out to their surface.

That stellar screaming creates surface vibrations on stars that asteroseismologists — researchers in a new scientific discipline — examine to learn about their subsurface activity. Now, artificial intelligence algorithms can help these asteroseismologists [filter and make sense](<https://www.universetoday.com/140511/scientists-are-using-artificial-intelligence-to-see-inside-stars-using-sound-waves/>) of those vibrations, *Universe Today* reports — and understand how different types of stars behave.

## Gazing Into the Abyss

In research published to the preprint server ArXiv last week and approved for publication in the journal *PASP Speciale Volume on Machine Learning,* a team of scientists [trained deep learning AI systems](<https://arxiv.org/abs/1811.03639>) to simulate the activity of [well-understood stars](<https://futurism.com/the-largest-ever-digital-survey-of-the-universe-just-mapped-billions-of-stars>).

Using those simulations as reference material, the algorithm can make sense of the otherwise-indecipherable data coming from stars far off in the Milky Way.

## Stardust

The reason it’s so hard to decipher these signals, aside from the obvious distance between earthling scientists and the stars outside our solar system, is because there’s a whole bunch of ­*stuff* out there that can interfere with their readings.

Often, things such as [a planet passing in the way](<https://futurism.com/planets-dont-orbit-stars>) of the star can alter data in what seems like the same way. Only with the highly trained eye of these deep learning algorithms can these scientists actually get to the bottom of what’s going on — like understanding how a star's magnetic field affects solar flares.

**READ MORE:** [Scientists are using artificial intelligence to see inside stars using sound waves](<https://www.universetoday.com/140511/scientists-are-using-artificial-intelligence-to-see-inside-stars-using-sound-waves/>) \[*Universe Today*\]

***More on space: [Scientists Just Discovered the Second-Closest Exoplanet to Earth](<https://futurism.com/scientists-just-discovered-the-second-closest-exoplanet-to-earth>)***

## Author
Dan Robitzki is a senior reporter for Futurism, where he likes to cover AI, tech ethics, and medicine. He spends his extra time fencing and streaming games from Los Angeles, California.

### Author social links  
[Twitter](<https://x.com/danrobitzski>)