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 Astrofísica de Canarias (IAC) is one of the international researches centres which is following actively the asteroid 2024 YR4 which has been qualified by the United Nations (UN) as potentially dangerous, because it has a 1.5% probability of impacting the Earth during 2032.The asteroid was discovered in 2024 and has an estimated size of between 40 and 90 metres. Given these figures, the UN has activated the protocols of planetary defence to obtain more accurate estimates of the orbit, the size and the threat which might be presented by 2024 YR4. The protocols of the UN are

Massive stars in metal-poor galaxies often have close partners, just like the massive stars in our metal-rich Milky Way. This has been discovered by an international scientific team in which research staff from the Instituto de Aastrofísica de Canarias (IAC) and the Universidad de La Laguna (ULL) participate. They used the European Very Large Telescope in Chile to monitor the velocity of massive stars in the Small Magellanic Cloud. The research is published in Nature Astronomy . For the past twenty years, astronomers have known that many massive stars in the metal-rich Milky Way have a