In a new challenge, experts in artificial intelligence (AI) and machine learning are calling on astronomers to join them in discovering and understanding planets outside our solar system (also known as exoplanets or “exoplanets”). increase.
The Ariel Data Challenge 2023, launched on April 14th, could help guide AI to help the future of the European Space Agency (ESA). ariel telescope Helps to understand its mission and deepen its understanding earthLocation universe.
“AI has revolutionized many areas of science and industry over the last few years. statement (opens in new tab)“The field of exoplanets has fully entered the age of big data, and cutting-edge AI is needed to break some of the biggest bottlenecks that hold us back.”
Related: AI discovers over 300 unknown exoplanets in Kepler data
Scheduled to launch in 2029, Ariel will conduct one of the world’s largest surveys. exoplanetexamines the outer atmospheres of about 1,000 known planets solar systemThis is a staggering number of observations representing about one-sixth of the approximately 6,000 worlds currently known in the exoplanet catalog, and it takes the AI and machine learning community to interpret Ariel’s data. Help may be essential.
The ESA Space Telescope works by studying the light from an exoplanet’s primary star after it has penetrated the planet’s atmosphere. A chemical element absorbs and emits light at set wavelengths, so looking at its spectrum, Performer After passing through an exoplanet’s atmosphere, it can reveal what that atmosphere is made of. This reveals how the planet in question formed and whether it can harbor life. may become.
But the scientists behind Ariel need new ways to interpret this data to better understand the effects of various atmospheric phenomena on the observed spectrum of light.
The fourth Ariel Data Challenge will end on June 18, 2023, following previous events in 2019, 2021 and 2022. This challenge asks computing professionals using models, algorithms, or data processing techniques to come up with a solution to this problem.
Participating experts can not only submit any potential solution they can think of, but they can also join forces and collaborate with other teams. Through this challenge, participants will be provided access to high-power computing resources through her DiRAC, part of the UK Science and Technology Facilities Council Computing Facility.
Anyone can apply for the Ariel Data Challenge, and the winner of the challenge will present their solution at the European Conference on Principles and Practices of Knowledge Discovery in Machine Learning and Databases (ECML), Europe’s premier machine learning and data mining conference. invited to present. PKDD). The top three teams will receive their tickets, or cash equivalent, sponsored by the event which will take place in Turin, Italy from Monday 18th September to Friday 22nd September 2023.
Kai Hou (Gordon) Yip, Ariel Data Challenge Lead and UCL Postdoctoral Fellow, said: “ECML-PKDD Data Challenge 2023 provides an excellent platform for facilitating interdisciplinary solutions with AI experts.”
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