The rise of the machine (learning) with Gareth Conduit episode artwork

EPISODE · Nov 2, 2023 · 35 MIN

The rise of the machine (learning) with Gareth Conduit

from People doing Physics

Today we’re joined by Dr Gareth Conduit. Gareth is a lecturer at Gonville and Caius College and Royal Society Research Fellow here at the cavendish Laboratory. He leads a research group focused on developing machine learning methods for understanding and designing new materials and chemicals. In 2017, he co-founded the startup Intellegens, through which he’s worked with companies such as Rolls Royce to apply software developed in the lab to the kinds of materials questions faced by industry.Today, we talk about how the joy of physics can come from breaking things down to understand how they work, Gareth’s journey through Cambridge life as an undergraduate, postgraduate and now independent researcher, and the exciting opportunities and advances that arise when you bring physics and computers together to solve real-world challenges. Useful linksYou can find out more about Gareth's research at quantum.cam.ac.uk Learn more about Intellegens, the spin-out company founded in 2017Interested in the Physics Olympiad? Visit the International Physics Olympiad website or start with the British one. Watch David MacKay's TED talk and check the book mentioned in this episode: Sustainable Energy - without the hot airTo learn more about the Cavendish Laboratory, or if you are interested in joining us or studying with us, go to the Cavendish website.Share and join the conversationIf you like this episode don’t forget to rate it and leave a review on your favourite podcast app. It really helps others to find us.Any comment about the podcast or question you would like to ask our physicists, email us at [email protected] or join the conversation on Twitter using the hashtag #PeopleDoingPhysics.Episode creditsHosts: Simone Eizagirre Barker and Jacob ButlerRecording and Editing: Chris BrockThis podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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