Applied AI Research at AWS with Alex Smola - #487
Analysis
This article summarizes a podcast episode featuring Alex Smola, Vice President and Distinguished Scientist at AWS AI. The discussion covers Smola's research interests, including deep learning on graphs, AutoML, and causal modeling, specifically Granger causality. The conversation also touches upon the relationship between large language models and graphs, and the growth of the AWS Machine Learning Summit. The article provides a concise overview of the topics discussed, highlighting key areas of Smola's work and the broader trends in AI research at AWS.
Key Takeaways
“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.”