Sep 9–12, 2019

Tim Nugent
Freelance, Lonely Coffee

Tim Nugent pretends to be a mobile app developer, game designer, tools builder, researcher, and tech author. When he isn’t busy avoiding being found out as a fraud, Tim spends most of his time designing and creating little apps and games he won’t let anyone see. He also spent a disproportionately long time writing his tiny little bio, most of which was taken up trying to stick a witty sci-fi reference in…before he simply gave up. He’s writing Practical Artificial Intelligence with Swift for O’Reilly and building a game for a power transmission company about a naughty quoll. (A quoll is an Australian animal.)

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.