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GTC ON-DEMAND

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Abstract:
We'll present a suite of artificial intelligence applications and computation geared towards increasing our understanding of the universe. The intensive collaboration between astrophysics and computer science has long started since Jim Gray and Alex Szalay. Nowadays, astrophysics continues to offer rich datasets, which are ideal for exploration with the latest in AI and computer science in general. We'll present successful projects in our space.ml initiative that try to answer a range of fascinating astrophysics questions. We'll show how we can use generative adversarial networks to go slightly beyond the Nyquist resolution limit in images, and to study the host galaxies of powerful quasars. We demonstrate how we can use transfer learning to identify rare galaxy mergers, and how to use variational autoencoders to forward model the processes in cosmology and galaxy evolution. We'll illustrate how we can use GPUs for compressive sensing to better analyze data from radio arrays, and to model the evolution of black holes over the age of the universe. Attendees will not only get our current answers to these questions but also get a taste of how AI is reshaping science today.
We'll present a suite of artificial intelligence applications and computation geared towards increasing our understanding of the universe. The intensive collaboration between astrophysics and computer science has long started since Jim Gray and Alex Szalay. Nowadays, astrophysics continues to offer rich datasets, which are ideal for exploration with the latest in AI and computer science in general. We'll present successful projects in our space.ml initiative that try to answer a range of fascinating astrophysics questions. We'll show how we can use generative adversarial networks to go slightly beyond the Nyquist resolution limit in images, and to study the host galaxies of powerful quasars. We demonstrate how we can use transfer learning to identify rare galaxy mergers, and how to use variational autoencoders to forward model the processes in cosmology and galaxy evolution. We'll illustrate how we can use GPUs for compressive sensing to better analyze data from radio arrays, and to model the evolution of black holes over the age of the universe. Attendees will not only get our current answers to these questions but also get a taste of how AI is reshaping science today.  Back
 
Topics:
AI Application, Deployment & Inference, Astronomy & Astrophysics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8667
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