To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have ...

Using AI image recognition, deep learning model efficiently and accurately finds structures related to star formation.

Sometimes, scientists get lucky: In 2012, NASA's Spitzer Space Telescope grabbed an image ... a member of the Webb science team. To obtain the image, Webb performed "the astronomical equivalent ...

A team of Japanese researchers has harnessed the power of AI to uncover hidden structures in our galaxy. Using deep learning ...

Using the James Webb Space Telescope (JWST), astronomers have peered into the atmosphere of a cosmic body that could be a rogue planet or a "failed star." Either way, the world wanders the cosmos ...

When the telescope finally became operational in 1990, it began to return unprecedented but flawed images. Its images ... The group also includes the Spitzer Space Telescope and the Chandra ...

For over a century, astronomers have marveled at the beauty and complexity of spiral galaxies, which feature arms covered in ...

Interstellar dust blocks the visible light emitted by the region, but it is revealed in this image by NASA's Spitzer Space Telescope which captures infrared light that can penetrate dust clouds.

To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have created a deep learning ...

In this image from NASA's Spitzer Space Telescope, "cometary knots" on the Helix Nebula show blue-green heads caused by excitation of their molecular material from shocks or ultraviolet radiation.

The Osaka Metropolitan University-led team used artificial ... Using data from the Spitzer Space Telescope and James Webb Space Telescope, the model employs AI image recognition to efficiently ...