Presentation: Scaling Deep Learning to Petaflops and Beyond!

Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

Codelabs are a self-guided tutorial of a product, API, or tool kit followed by an Office Hour period with the lab’s creator.

Groundbreaking papers make real-world impact.

Codelabs are a self-guided tutorial of a product, API, or tool kit followed by an Office Hour period with the lab’s creator.

Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.

Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.

Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix