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Dr. Becky | How ASTROPHYSICISTS use ARTIFICIAL INTELLIGENCE @DrBecky | Uploaded 2 months ago | Updated 2 days ago
AD - Thanks to Skillshare for sponsoring this video! The first 500 people to use my link will get a 1-month free trial of Skillshare: https://skl.sh/drbecky07241 | AI, or artificial intelligence, feels like a buzz word you just can’t escape from these days. It is everywhere. And astrophysics is no exception with a steady increase in the number of research papers published either using or mentioning AI tools such as machine learning and deep learning. So in this video let's chat about what actually is AI - what can it do, what can it not do, because there’s a lot of misinformation out there, before we then chat about 4 ways that us astrophysicists use AI: i) classification of data, ii) finding weird things (anomaly detection), iii) inference of data, and iv) emulation of simulations. This is by no means an exhaustive list, I’m sure many of my colleagues are also using AI in other ways for the research, not to mention using well known tools like GitHub’s copilot to help them write code, or chatGPT to help them with inspiration when trying to summarise research papers or grant proposals into abstracts. AI has perhaps changed the way we work as astrophysicists, but has not yet changed astrophysics itself. The key word there though being *yet*, because with the pace of advancement of AI that we’re seeing, who knows what the next decade could bring!

Classify the shapes of galaxies in images from the brand new Euclid telescope to help train an AI deep learning algorithm - galaxyzoo.org

Check out Katie Bouman's TED talk explaining how the black hole image is made by the Event Horizon Telescope team: youtube.com/watch?v=BIvezCVcsYs

Smith & Geach (2023) - arxiv.org/pdf/2211.03796
Kembhavi & Pattnaik (2022) - link.springer.com/article/10.1007/s12036-022-09871-2
Fotopoulou (2024) - arxiv.org/pdf/2406.17316
Huppenkothen et al. (2023) - arxiv.org/pdf/2310.12528
Walmsley et al. (2020) - arxiv.org/pdf/1905.07424
Walmsley et al. (2023) - joss.theoj.org/papers/10.21105/joss.05312
Bowles et al. (2021) - arxiv.org/pdf/2012.01248
Huertas-Company et al. (2023) - arxiv.org/pdf/2305.02478
Robertson et al. (2023) - arxiv.org/pdf/2208.11456
Yu et al. (2019) - arxiv.org/pdf/1904.02726
Osborn et al. (2020) - arxiv.org/pdf/1902.08544
Muthukrishna et al. (2019) - arxiv.org/pdf/1902.08544
Sooknunan et al. (2021) - arxiv.org/pdf/1811.08446
Cheng et al. (2021) - arxiv.org/pdf/2009.11932
Tohill et al. (2024) - arxiv.org/pdf/2306.17225
Muthukrishna et al. (2022) - arxiv.org/pdf/2111.00036
Perez-Carrasco et al. (2023) - iopscience.iop.org/article/10.3847/1538-3881/ace0c1
Mohale & Lochner (2024) -arxiv.org/pdf/2311.14157
Angeloudi et al. (2024) - arxiv.org/pdf/2407.00166
Rose et al. (2024) - arxiv.org/pdf/2405.00766
Conceição et al. (2024) - arxiv.org/pdf/2304.06099

00:00 - Introduction
01:33 - What is AI? Machine learning vs deep learning
05:46 - AD - Skillshare
07:17 - (i) Classification of data
11:21 - (ii) Anomaly detection
13:29 - (iii) Inference of data
15:07 - (iv) Emulation of simulations
17:40 - The impact of AI on astrophysics
19:19 - Bloopers

Video filmed on a Sony ⍺7 IV

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👩🏽‍💻 I'm Dr. Becky Smethurst, an astrophysicist at the University of Oxford (Christ Church). I love making videos about science with an unnatural level of enthusiasm. I like to focus on how we know things, not just what we know. And especially, the things we still don't know. If you've ever wondered about something in space and couldn't find an answer online - you can ask me! My day job is to do research into how supermassive black holes can affect the galaxies that they live in. In particular, I look at whether the energy output from the disk of material orbiting around a growing supermassive black hole can stop a galaxy from forming stars.


http://drbecky.uk.com
rebeccasmethurst.co.uk
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