A global team of astronomers and machine learning researchers today announced the release of the " Multimodal Universe" - a groundbreaking 100 terabyte dataset that brings together hundreds of millions of astronomical observations in unprecedented detail and scale. This massive collection of space data aims to revolutionize how artificial intelligence can be applied to unlock the mysteries of the cosmos. " The Multimodal Universe makes accessing machine learning-ready astronomical datasets as easy as writing a single line of code," says Helen Qu, a postdoctoral researcher at the Flatiron

The Instituto de Astrofisica de Canarias hosted this week the global meeting of the members of the European project The Whole Sun , a project approved and funded by the European Research Council (ERC) as part of its Synergy Grant calls. The duration of the project is seven years (from 2019 to 2026) and its full title is: “The whole Sun: untangling the complex physical mechanisms behind our eruptive star and its twins”. The main objective of the ERC’s Synergy Grant calls is to promote the joint work of groups of researchers in different European institutions so that all the necessary tools

Research led by the Instituto de Astrofísica de Canarias (IAC) has used an innovative technique based on artificial intelligence to study how stars form in galaxies. By analysing 10 000 nearby galaxies, the team have discovered that most stars are born within their own galaxy. Galactic mergers, while important, are not the main source of new stars. Furthermore, the study reveals that more massive galaxies are more affected by these mergers. These results, published in Nature Astronomy, provide new clues about the complex history of galaxies and their evolution over time. Most galaxies do not