Fueling innovative software
July 15-18, 2019
Portland, OR
Mars Geldard

Mars Geldard
Tutor, University of Tasmania

@TheMartianLife

Marina Rose Geldard (Mars) is a technologist from Down Under in Tasmania. Entering the world of technology relatively late as a mature-age student, she has found her place in the world: an industry where she can apply her lifelong love of mathematics and optimization. She compulsively volunteers at industry events, dabbles in research, and serves on the executive committee for her state’s branch of the Australian Computer Society (ACS) as well as the AUC. She’s writing Practical Artificial Intelligence with Swift for O’Reilly and working on machine learning projects to improve public safety through public CCTV cameras in her hometown of Hobart.

Sessions

1:30pm–5:00pm Monday, July 15, 2019
Build a self-driving car. . .without a car: AI problem solving with Unity and TensorFlow
Incorporating Artificial Intelligence
 Location: Portland 256
Secondary topics:  AI Enhanced
Paris Buttfield-Addison (Secret Lab), Mars Geldard (University of Tasmania), Tim Nugent (Lonely Coffee)
Average rating: ***..
(3.80, 20 ratings)
Games are wonderful contained problem spaces, making them great places to explore AI—even if you’re not a game developer. Paris Buttfield-Addison, Mars Geldard, and Tim Nugent teach you how to solve AI and ML problems using the Unity game engine and Google's TensorFlow for Python to train, explore, and manipulate intelligent agents that learn. Read more.