Astronomers Use Artificial Intelligence To Find Elusive Stars “Gobbling Up” Planets

We recently reported on how the mountains of data produced by astronomical instruments are “perfect for AI.” We’ve also started reporting on several use cases for different AI algorithms. Now, a team of researchers from the University of Texas has developed a new use case that focuses on discovering the interior makeup of exoplanets by looking at a specific type of star.

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Fast-Tracking the Search for Habitable Worlds

Illustration: Assortment of exoplanets
Astronomers have detected thousands of planets, including dozens that are potentially habitable. To winnow them down, they need to understand their atmospheres. AI and machine learning can help. (NASA Illustration)

Modern astronomy would struggle without AI and machine learning (ML), which have become indispensable tools. They alone have the capability to manage and work with the vast amounts of data that modern telescopes generate. ML can sift through large datasets, seeking specified patterns that would take humans far longer to find.

The search for biosignatures on Earth-like exoplanets is a critical part of contemporary astronomy, and ML can play a big role in it.

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Astronomers Have Tools That Can Help Detect Deepfake Images

This AI-generated image of the Pope in a puffer jacket went viral in 2023 and many were fooled into thinking it was real. It was generated with the AI tool Midjourney and was posted on Reddit by a user whose account is now gone. On the right is a Hubble Space Telescope image of the Antennae Galaxies. Image Credit: Midjourney/NASA/ESA

There’s a burgeoning arms race between Artificial Intelligence (AI) deepfake images and the methods used to detect them. The latest advancement on the detection side comes from astronomy. The intricate methods used to dissect and understand light in astronomical images can be brought to bear on deepfakes.

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Astronomy Generates Mountains of Data. That’s Perfect for AI

A drone's view of the Rubin Observatory under construction in 2023. The 8.4-meter telescope is getting closer to completion and first light in 2025. The telescope will create a vast amount of data that will require special resources to manage, including AI. Image Credit: Rubin Observatory/NSF/AURA/A. Pizarro D

Consumer-grade AI is finding its way into people’s daily lives with its ability to generate text and images and automate tasks. But astronomers need much more powerful, specialized AI. The vast amounts of observational data generated by modern telescopes and observatories defies astronomers’ efforts to extract all of its meaning.

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Does the Rise of AI Explain the Great Silence in the Universe?

Will AI become indispensable in an age of "big data" astronomy? Credit: DALL-E

Artificial Intelligence is making its presence felt in thousands of different ways. It helps scientists make sense of vast troves of data; it helps detect financial fraud; it drives our cars; it feeds us music suggestions; its chatbots drive us crazy. And it’s only getting started.

Are we capable of understanding how quickly AI will continue to develop? And if the answer is no, does that constitute the Great Filter?

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