The link between astronomy and ML with Josh Bloom, Chair of Astronomy at UC Berkeley

Josh explains how astronomy and machine learning have informed each other, their current limitations, and where their intersection goes from here. --- Josh is a Professor of Astronomy and Chair of the Astronomy Department at UC Berkeley. His research interests include the intersection of machine learning and physics, time-domain transients events, artificial intelligence, and optical/infared instrumentation. Much of Josh’s current group activities can be found at ML4Science. Connect with Josh: 📍 Twitter: 📍 Personal Website: --- ⏳ Timestamps: 0:00 Intro, sneak peek 1:15 How astronomy has informed ML 4:20 The big questions in astronomy today 10:15 On dark matter and dark energy 16:37 Finding life on other planets 19:55 Driving advancements in astronomy 27:05 Putting telescopes in space 31:05 Why Josh started using ML in his research 33:54 Crowdsourcing in astronomy 36:20 How ML has (and hasn’t) informed astronomy 47:22 The next generation of cross-function