DSAi: Symbolic Ai Special Edition @ Amazon Web Services

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DSAi: Symbolic Ai Special Edition @ Amazon Web Services

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Amazon Web Services and the Data Science and Ai Association of Australia presents our Symbolic Ai special edition event. Come along to learn from renowned industry leaders on the practical limits on what computers can and cannot do & how a million-dollar challenge might be solved using Symbolic Ai and Computational complexity theory.


Professor Claude Sammut

Combining Symbolic and Sub-Symbolic AI for Robot Learning

Machine learning has had many recent successes, but current popular methods have their limitations, including requiring many training examples and a lack of transparency. Classical AI techniques can help to learn from a small number of examples and make the result more explainable. In particular, classical AI has well-developed methods for representing and reasoning about background domain knowledge. In this talk, we describe the hybrid learning methods we have used in robot learning that combine symbolic learning and planning with numerical methods. Examples of such robot learning systems include learning a bipedal walk, a robot learning to use tools and a rescue robot learning to traverse rough terrain.

Professor Maurice Pagnucco, the Head of the School of Computer Science and Engineering at UNSW will talk about computational complexity theory - one of the most popular topics in computer science today.

Computational complexity theory focuses on classifying computational problems according to their inherent difficulty and relating these classes of problems to each other.

Did you know that computational complexity theory can help you solve one of 7 Millennium Prize institute Problems? A correct solution to any of the problems will result in a US$1 million prize being awarded by the institute to the discoverer(s).


Biography of presenters

Professor Maurice Pagnucco

Professor Maurice Pagnucco is Deputy Dean (Education), Engineering and the Head of the School of Computer Science and Engineering at UNSW.

Maurice graduated with a BSc (Hons I) and PhD from the University of Sydney. He has held academic positions at the University of Sydney, Macquarie University, the University of Toronto and the University of New South Wales.

His research interests lie in:
Knowledge Representation and Reasoning
Cognitive Robotics
Belief Change
Reasoning About Actions

Claude Sammut is a Professor in the School of Computer Science and Engineering, University of New South Wales.

His did pioneering work in Behavioural Cloning. His current interests are focussed on Machine Learning applications in Robotics. He was the leader of the UNSW teams that won RoboCup four-legged robot competitions in 2000, 2001 and 2003; the winners of the 2014 and 2015 Standard Platform League and the team that won the award for best autonomous robot at RoboCup Rescue 2009, 2010 and 2011.

In 2012, he was elected to the board of trustees of the RoboCup Federation having previously served as a member of the executive committee from 2003 to 2009. He is co-editor-in-chief of Springer's Encyclopedia of Machine Learning and Data Mining and general chair of RoboCup 2019, Sydney.


6:00 - 6:30: Beer, Pizza, Networking
6:30 - 6:40: Intro
6:40 - 7:10: Prof. Maurice Pagnucco Talk
7:10 - 7:20: Small break
7:20 - 7:50 Prof. Claude Sammut Talk
7:50 - 8:15 QnA
8:15 - 8:30 Wrap up