Applied AI Research at AWS with Alex Smola

EPISODE 487
|
MAY 27, 2021
Watch
Play
Don't Miss an Episode!  Join our mailing list for episode summaries and other updates.

About this Episode

Today we're joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. [fusebox_embed ep='487'] [podlinks] [embedyt] https://www.youtube.com/watch?v=7r03WiIkG9Y[/embedyt] 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, it's exponential growth since its inception a few years ago, and what speakers he's most excited about hearing from.

About the Guest

Alex Smola

Amazon Web Services

Connect with Alex

Resources

Related Topics