Morning Overview on MSN

How AI is reshaping astronomy, from data sorting to new discoveries

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond ...
Open Access Government

Reconstructing the three-dimensional structure of star-forming cores with the help of neural networks

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...
SpaceRef

Analyzing Astronomical Data with Machine Learning Techniques

Logistic Regression classification method is used to separate variable stars from nonvariable stars. The light blue points show nonvariable sources, while the violet show variable sources. The ...
Labroots

Machine Learning Competition Designed to Study Exoplanet Atmospheres

Can machine learning be used to advance exoplanet science, and can this be done by non-scientists, as well? This is what Ariel Data Challenge 2024 hopes to address as participants from around the ...
The Conversation

Astronomers used machine learning to mine data from South Africa’s MeerKAT telescope: what they found

Michelle Lochner receives funding from the National Research Foundation and the Department of Science and Innovation. New telescopes with unprecedented sensitivity and resolution are being unveiled ...

First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
SpaceRef

An Astronomer’s Guide to Machine Learning

Example of real time processed candidate images, taken from a past operational run of DWF. Each panel is a small, 121 × 121 pixel image that corresponds to ∼ 30 × 30 arcsec on the sky centred on the ...