Technical Talks

It's The Data, Stupid!
When working to improve an ML model, many teams will immediately turn to fancy models or hyperparameter tuning to eke out small performance gains. However, the majority of model improvement can come from holding the model code fixed and properly curating the data it's trained on!

CEO and Co-Founder
Peter Gao
Aquarium
Peter Gao is the co-founder and CEO of Aquarium, a YC and Sequoia-backed startup that helps team improve their ML models by improving the data they train on. Previously, Peter was an early employee at Cruise, where he built much of the perception and deep learning systems for a self driving car. Before that, Peter did deep learning research at Berkeley and worked on ML at Khan Academy and Pinterest.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!