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Hubble spots three young stars going through growth spurts

Popular Science

The trio is shining 500 light-years away from Earth. Breakthroughs, discoveries, and DIY tips sent six days a week. NASA's Hubble Space Telescope has captured a trio of young stars in the process of becoming their best selves in the constellation Scorpius. Posted to the agency's site on January 16 as part of its Hubble Stellar Construction Zones series, the three T Tauri stars--seen at the bottom right, upper center, and left along with many other stellar objects in the background--are forming inside the hazy Lupus 3 cloud about 500 light-years from Earth. While the image appears somewhat serene, the interior forces at play are anything but tranquil.


Rogue planet is gobbling up 6.6 billion tons of dust per second

Popular Science

Science Space Deep Space Exoplanets Rogue planet is gobbling up 6.6 billion tons of dust per second The cosmic oddities experience their own growth spurts. Breakthroughs, discoveries, and DIY tips sent every weekday. About 620 light-years from Earth, a gigantic rogue proto-planet is currently devouring 6.6 billion tons of dust and gas per second. Based on recent observations, the relatively new resident of the Chamaeleon constellation isn't stopping anytime soon--and the situation may get even more intense. But according to astronomers, that may be pretty standard behavior for these cosmic objects.


Forthcoming machine learning and AI seminars: March 2024 edition

AIHub

This post contains a list of the AI-related seminars that are scheduled to take place between 11 March and 30 April 2024. All events detailed here are free and open for anyone to attend virtually. Title to be confirmed Speaker: Misha Khodak (Carnegie Mellon University) Organised by: Carnegie Mellon University Zoom link is here. The impact of AI tools on the student experience in programming courses: A preliminary study with an intersectional analysis approach Speakers: Yash Tadimalla & Prof. Mary Lou Maher (University of North Carolina at Charlotte) Organised by: Raspberry PI Sign up here to join. ML-enhanced approaches to help accelerate materials design for extreme environments Speaker: Lory Brady Graham-Brady (Johns Hopkins University) Organised by: EPFL Join here.


Using AI to help understand the evolution of young stars and their planets

AIHub

A stellar flare is a sudden flash of increased brightness on a star. Young stars are prone to these flares which can incinerate everything around them, including the atmospheres of nearby planets starting to form. Finding out how often young stars erupt can help scientists understand where to look for habitable planets. But until now, searching for these flares involved poring over thousands of measurements of star brightness variations, called'light curves', by eye. Now, an international team of scientists based in Australia and the USA have used machine learning to make the search faster and more effective.


New AI tool that detects star flares could help us find habitable planets

#artificialintelligence

A new AI system that detects flares erupting from stars could help astronomers find habitable planets, according to the tool's inventors. The neural network detects the light patterns of a stellar flare -- which can incinerate the atmospheres of planets forming nearby. The frequency and location of the flares can therefore indicate the best places to search for habitable planets. Astronomers normally look for the flares through a time-consuming process of analyzing measurements of star brightness by eye. The AI tool could make their work faster and more effective.


Artificial Intelligence Helps Understand the Evolution of Young Stars and Their Planets

#artificialintelligence

They taught a type of artificial intelligence called a neural network to detect the telltale light patterns of a stellar flare, then asked it to check the light …


Using AI to unlock clues to the origins of the stars and planets

#artificialintelligence

An artificial intelligence (AI) system analyzing data from the Gaia space telescope has identified more than 2,000 large protostars, young stars that are still forming and could hold clues to the origin of the stars in our Milky Way. Scientists had previously cataloged only a 100 of these stars and investigating them has generated much of the knowledge underpinning star formation studies. The project was led by Miguel Vioque, a Ph.D. researcher at the University of Leeds, and the findings--New catalog of Herbig AE/BE and classical Be stars: A machine learning approach to Gaia DR2--have been published in the journal Astronomy and Astrophysics. He believes studying these newly identified stars has the potential to change scientists' understanding of massive star formation and their approach to studying the galaxy. Mr Vioque and his colleagues were interested in what are known as Herbig Ae/Be stars, stars that are still forming and have a mass that is at least twice that of the Sun. They are also involved in the birth of other stars.


B. Aditya Prakash on IEEE Magazine's List of 10 Young Stars to Watch in Artificial Intelligence

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Blacksburg, VA – B. Aditya Prakash, an assistant professor of computer science in the College of Engineering is being celebrated as one of the 10 …