From the curious beginner to the advanced practitioner, this is a group for anyone interested in learning and sharing ideas in AI. We aim to run events to get people together and to support all the great AI initiatives taking place in Queensland.
Our Queensland.AI community will also serve as the foundation for the new Queensland AI centre, due to launch in 2019.
For the first Queensland AI event in 2019 Doctor Sue Keay will join us to share her thoughts on Robotics and AI in Australia.
Sue set up the world's first robotic vision research centre, and now leads CSIRO's Data61 Cyber-Physical Systems program. Last year, she developed Australia's first Robotics Roadmap highlighting how advances in robotics (and AI) will impact on every sector of the Australian economy.
With a PhD in Geoscience and an MBA, Sue combines science with business. She has interests in entrepreneurship and disruptive technologies, and started QUT's social robotics program. Sue serves on the Board of the CRC for Optimising Resource Extraction and the Expert Advisory Panel of Queensland.AI. She is a judge for the James Dyson Awards and the Australian Museum Eureka Prizes, and a graduate of the Australian Institute of Company Directors.
Sue has been recognised as one of RoboHub's 2018 "Women in Robotics you need to know about", as one of Queensland's most influential people (Courier Mail's Power 100), and as a Superstar of STEM (Science and Technology Australia).
As the first event of the year, this will be a free event for newcomers, regulars and, of course, our QAIC members.
I will also share some vision for the meetup in the year ahead, and will talk briefly about some of the new innovations that are exciting me and what these might mean for the broader community.
6:00pm Mingling, networking and nibbles
6:30pm Introduction and vision for 2019 (Nick)
6:45pm Robotics and AI in Australia - Challenges and Opportunities
7:30pm Mingling continued
To get to the venue take the elevators from within the old TC Beirne Building up to The Precinct on level 2.
PLEASE NOTE: registration is not completed here on meetup. Please express interest by registering via our website below:
Deep Reinforcement Learning has been responsible for some of the most recent breakthroughs in Machine Learning, from AlphaGo to Dota but also has tremendous commercial application potential. From reducing Google’s data centres cooling costs by 40% to autonomous car navigation, the applications of RL will continue to increase.
StarAi is a three day intensive Deep Reinforcement learning course commencing on Wednesday the 20th of March, running through to Friday the 22rd of March 2019.
Attendees of the course can expect to learn:
The Epsilon Greedy Algorithm
Markov Decision Processes & Dynamic Programming
Monto Carlo Sampling, Temporal Difference Learning
Tabular Q methods
Deepminds DQN Algorithm
What we’re looking for:
You are comfortable with basic linear algebra. It’s fine if you have to brush up on these skills before course commencement.
You are comfortable programming in Python (other languages are helpful, but you’ll spend the program writing in Python).
Having prior experience with Neural Networks & Deep Learning would definitely help. StarAi recommends Fast.ai, Deeplearning.ai, CS231n or a University equivalent.