Скачать или смотреть AI in Astrophysics - Joanna Piotrowska-Karpov - 09/27/2024

How is the advent of artificial intelligence and machine learning changing astrophysics? What new astronomical discoveries will be possible with these exciting technologies? Join us for a 30-minute lecture discussing AI in astrophysics, followed by a panel Q&A consisting of several astrophysicists to answer your questions about astronomy and space science. Timestamps below:

Note: Due to a technical difficulty with the original recording leading to missing sections and poor sound, Dr. Piotrowska-Karpov was gracious enough to re-record this video for our online audience.

00:00 AI Presentation
38:44 Q&A Panel Introductions
41:18 "Has ML been used in astrobiology?"
42:48 "Do AI models start from scratch or use previous models?"
46:51 "What distinguishes AI from ML?"
48:40 "How do you know you're not missing anything?"
50:54 "Can AI recognize problems in the questions being asked?"
56:53 "What would you like ML to do that it cannot yet accomplish?"
1:04:33 "Do ML tools incorporate genetic algorithms?"
1:06:28 "Can AI and ML work together?"
1:10:17 "How does one quantify error in ML models?"
1:15:10 "Will each astrophysics ML model restrict to just one part of EM spectrum?"
1:17:08 "Have ML models been applied to large-scale cosmological structures?"
1:19:39 "Can an AI supercede numerical simulation results?"
1:25:25 "Is ML only good for cataloguing?"
1:29:13 "How have simulations of black holes changed since interstellar?"
1:30:51 "Is it feasible to reverse-engineer dark matter using ML?"
1:34:32 "Can ML help in building astronomical instruments?"
1:38:45 "Are there ethics in place for AI?"
1:44:35 "Will ML in quantum computers be applicable to general problems?"
1:47:27 Concluding Remarks

Related links:

Stream Beats by Harris Heller: https://streambeats.com/ | Link to the exact playlist: https://open.spotify.com/playlist/2gj...
ChatGPT: https://chatgpt.com/
Phind: https://www.phind.com/
Exoplanet detection with ML: https://www.jpl.nasa.gov/news/artific...
Galaxy classification: https://www.nao.ac.jp/en/news/science...
Denoising astronomical images, Vojtekova+2020 https://arxiv.org/abs/2011.07002
Accurate modelling of turbulence in Core Collapse Supernovae, Karpov+2022 https://arxiv.org/abs/2205.08663
Anomaly detection, Etsebeth+2024 https://arxiv.org/abs/2309.08660
Random Forests for galactic property importance, Bluck+2024: https://arxiv.org/abs/2311.02526
What is a Black Hole? Astroinvestigates episode:    • What is a black hole? Astro-Investigates E...  
All your black hole questions answered: https://www.instagram.com/stories/hig...
Why do galaxies stop forming stars?    • Joanna Piotrowska Explains How Black Holes...  

Title: AI in Astrophysics: How Machines Help Us Learn about the Universe
Lecturer: Joanna Piotrowska-Karpov
Abstract:
Since its rise in popularity two decades ago, machine learning has become an inseparable part of both our daily lives and academia. Being constantly bombarded by exciting headlines, one might wonder whether artificial intelligence (AI) has found the theory of everything yet or how, if at all, it has impacted the way we study our universe. Is it useful? Or just fashionable? And will it make researchers obsolete? In this talk, we will demystify AI and discuss how it can help us perform cutting-edge research, offering pathways to new discovery in astrophysics (as well as why we astronomers may not be out of a job quite yet!)

Image Credit: Pixabay