Sep 9–12, 2019

Mars Geldard
Researcher, University of Tasmania

Marina (Mars) Rose Geldard is a researcher from Down Under in Tasmania. Entering the world of technology relatively late as a mature-age student, she’s found her place in the world: an industry where she can apply her lifelong love of mathematics and optimization. When she’s not busy being the most annoyingly eager researcher ever, 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). She’s currently writing Practical Artificial Intelligence with Swift for O’Reilly.

Sessions

9:00am–12:30pm Tuesday, September 10, 2019

Location: LL21 A/B

Build a self-driving car without a car: ML problem-solving with a game engine

Implementing AI

Secondary topics: Computer Vision, Machine Learning, Mobile Computing, IoT, Edge, Reinforcement Learning

Paris Buttfield-Addison (Secret Lab), Tim Nugent (Lonely Coffee), Mars Geldard (University of Tasmania)

Average rating:

(4.89, 9 ratings)

Whether you're a scientist wanting to test a problem without building costly real-world rigs, a self-driving car engineer wanting to test AI logic in a virtual world, or a data scientist needing to solve a thorny real-world problem without a production environment, Paris Buttfield-Addison, Tim Nugent, and Mars Geldard teach you how to use solution-driven ML AI problem solving with a game engine. Read more.

4:50pm–5:30pm Thursday, September 12, 2019

Location: LL21 C/D

Live coding a self-driving car (without a car)

Interacting with AI

Secondary topics: Computer Vision, Machine Learning, Reinforcement Learning

Paris Buttfield-Addison (Secret Lab), Mars Geldard (University of Tasmania), Tim Nugent (Lonely Coffee)

Average rating:

(5.00, 2 ratings)

Whether you're a scientist wanting to test a problem without building costly real-world rigs, a self-driving car engineer wanting to test AI logic in a constrained virtual world, or a data scientist needing to solve a thorny real-world problem without a production environment, Paris Buttfield-Addison, Mars Geldard, and Tim Nugent teach you how to use AI problem-solving using game engines. Read more.