Hello Makers!

Join us this evening to hear from makers behind H2O Driverless AI & Technical Staff of Oracle! following is a brief agenda for the evening:

6 - 6:30 - Doors open & networking
6:30 - 7:30 - Nick & Anthony's talk
7:30 - 8 - Q&A

Talk 1: Interpretable Machine Learning
The good news is building fair, accountable, & transparent machine learning systems is possible. The bad news is its harder than many blogs & software package docs would have you believe. The truth is nearly all interpretable machine learning techniques generate approximate explanations, that the fields of eXplainable AI (XAI) & Fairness, Accountability, & Transparency in Machine Learning (FAT/ML) are very new, & that few best practices have been widely agreed upon. This combination can lead to some ugly outcomes!

This talk aims to make your interpretable machine learning project a success by describing fundamental technical challenges you will face in building an interpretable machine learning system, defining the real-world value proposition of approximate explanations for exact models, & then outlining the following viable techniques for debugging, explaining, & testing machine learning models

Talk 2: AlphaZero on GraphPipe
In this introductory discussion, X from Oracle Cloud Infrastructure will walk through the essential elements of taking neural network models from R&D to production. The discussion will include a survey of prominent model formats, including Tensorflow, Caffe2, ONNX, & TensorRT, & discuss how one can deploy these models to production using various serving technologies like GraphPipe.

AlphaZero on GraphPipe - Accelerated training of the AlphaZero algorithm using GraphPipe AlphaZero is an interesting ML case study, as it requires massive amounts of model inference for its game generation phase. In this talk, we discuss the challenges & bottlenecks of the AlphaZero algorithm, & go into detail about how we used GraphPipe at a variety of key points in our architecture to overcome them, from initial AlphaZero training all the way through front-end web-based application deployment.

Speaker Bios:
Nicholas Png
Nicholas Png is a Partnerships Software Engineer at H2O.ai. Prior to working at H2O, he worked as a Quality Assurance Software Engineer, developing software automation testing. Nicholas holds a degree in Mechanical Engineering & has experience working with customers across multiple industries, identifying common problems, & designing robust, automated solutions.

Anthony is a Consulting Member of Technical Staff at Oracle. He works in OCI where he focuses on the intersection of distributed computing & AI. Previous to Oracle, he was Principal Engineer at Whitepages, where he architected data products, created ML-driven fraud detection infrastructure, & initiated their migration from Data Center to cloud. Anthony was also on the founding team of OpenStack, & worked as a core developer on Cinder, Horizon, & Devstack.