Paris Buttfield-Addison


Dr Paris Buttfield-Addison is co-founder of Secret Lab a game development studio based in beautiful Hobart, Australia. Secret Lab builds games and game development tools, including the multi-award-winning ABC Play School iPad games, the BAFTA- and IGF-winning Night in the Woods, the Qantas airlines Joey Playbox games, and the Yarn Spinner narrative game framework. Previously, Paris was mobile product manager for Meebo, a ground-breaking 'Web 2.0' startup which was acquired by Google. Paris particularly enjoys game design, statistics, the blockchain, machine learning, and human-centered technology research and writes technical books on mobile and game development (more than 20 so far) for O’Reilly Media. He is currently writing 'Practical AI with Swift', 'Head First Swift', and the 'Unity Game Development Cookbook'. He holds a degree in medieval history and a PhD in computing.

On-device Neural Style Transfer

Level: General

Neural Style Transfer (NST) is a great machine learning technique for applying the style of one image to a separate, entirely different image. Using NST you can make pictures of your cat look like Van Gogh's 'The Starry Night', or snaps of your dinner look like da Vinci's 'Mona Lisa'. 

This session demonstrates how easy it is to perform previously complex machine learning tasks, like NST, locally on an iOS device using CoreML. The future of personal machine learning features might be privacy-centric, on-device machine learning. There's no need to outsource your ML-features to the cloud. 

In a world of increasing awareness of the value of privacy and security, on-device ML-features are an important component in any AI experts toolkit. We'll explain how they work, what they can be used for, and demonstrate their power. Come and learn just how powerful a portable device can be.