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Applied AI Research at AWS with Alex Smola - #487

2021-05-27 · 56 min · episode 487 · 14 entities

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companys 5

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Technology company
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    Feed category: Technology
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML
  • mentioned AWS company
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    AWS

concepts 5

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
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    Feed category: Science
  • discusses News concept
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    Feed category: News
  • discusses Tech News concept
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    Feed category: Tech News

persons 3

  • mentioned Alex Smola person
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    Applied AI Research at AWS with Alex Smola - #487
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. We had the pleasure to catch up with Alex prior to the upcoming AWS Machine Learning Summit, and we covered a TON of ground in the conversation. We start by focusing on his research in the domain of deep learning on graphs, including a few examples showcasing its function, and an interesting discussion around the relationship between large language models and graphs. Next up, we discuss their focus on AutoML research and how it's the key to lowering the barrier of entry for machine learning research. Alex also shares a bit about his work on causality and causal modeling, introducing us to the concept of Granger causality. Finally, we talk about the aforementioned ML Summit, its exponential growth since its inception a few years ago, and what speakers he's most excited about hearing from. The complete show notes for this episode can be found at https://twimlai.com/go/487.