summary: The Ariel Data Challenge 2023 invites artificial intelligence and machine learning experts to help collect data about exoplanets.
sauce: euro planet
Artificial intelligence (AI) professionals face the challenge of supporting new space missions to probe the Earth’s position in space.
Ariel Data Challenge 2023, launching April 14, will bring together AI and machine learning experts from industry and academia to help astronomers understand extrasolar planets, known as exoplanets .
Dr. Ingo Waldmann, Associate Professor of Astrophysics and leader of the Ariel Data Challenge at UCL (University College London), said:
“AI has revolutionized many areas of science and industry over the past few years. We need to break down some of the
Understanding Our Place in the Universe
For centuries, astronomers have only glimpsed the planets of our solar system, but in recent years, thanks to space telescopes, we have discovered more than 5,000 planets orbiting other stars in our galaxy.
The European Space Agency’s Ariel Telescope will complete one of the largest-ever surveys of these planets by observing the atmospheres of about one-fifth of the known exoplanets.
Due to the large number of planets involved in this survey and the expected complexity of the observations, Ariel’s mission scientists enlisted the help of the AI and machine learning community to help interpret the data. I’m here.
Ariel Data Challenge
Ariel studies light from an exoplanet’s primary star as a spectrum after it passes through the planet’s atmosphere. Information from these spectra helps scientists investigate the chemical composition of planetary atmospheres and discover more about these planets and how they formed.
Scientists on the Ariel mission need new ways to interpret these data. Advanced machine learning techniques help us understand the impact of various atmospheric phenomena on the observed spectra.
The Ariel Data Challenge invites the AI community to explore solutions. The contest will run from 14th April 2023 to 18th June 2023.
Participants are free to use any model, algorithm, data preprocessing technique, or other tool to provide their solution. They can submit as many solutions as they like, and collaboration between teams is welcome.
This year’s competition will also provide participants with access to high-power computing resources through DiRAC, part of the UK’s Science and Technology Facilities Council Computing Facility.
Kai Hou (Gordon) Yip, UCL Postdoctoral Fellow and Ariel Data Challenge Lead, said:
“With the advent of next-generation instruments, astronomers are struggling to keep up with the complexity and volume of incoming exoplanet data. It provides an excellent platform for facilitating flexible solutions.”
competition
Winners will be invited to present their solutions at the prestigious ECML conference. The top three winning teams will receive Turing’s sponsorship of her ECML-PKDD ticket or cash equivalent.
Winners will be invited to present their solutions to the Ariel Consortium.
The competition is supported by the British Space Agency, Center National d’Etudes Spatiales (CNES), European Research Council, UKRI Science and Technology Funding Council (STFC), European Space Agency and Europlanet Society.
For the first time, DiRAC will offer free access to GPU computing resources to selected participants. The application is open to everyone.
last tournament
This is the fourth Ariel Machine Learning Data Challenge following successful competitions in 2019, 2021 and 2022. The 2022 challenge attracted 230 participating teams from around the world, including participants from leading academic institutions and AI companies.
This challenge and its predecessor took bite-sized aspects of the larger problem to make exoplanet research more accessible to the machine learning community. These challenges are not designed to fully solve the data analysis problems facing the mission, but they do provide a forum to foster new ideas, discussion, and future collaboration.
For more information on the competition and how to enter, please visit the Ariel Data Challenge website.follow @ArielTelescope for more information.
About this Artificial Intelligence Research News
author: Anita Howard
sauce: euro planet
contact: Anita Heward – Europlanet
image: image is public domain
