School of Electrical & Electronic Engineering Research Expo, Friday6 May 2011 Life Impact | The University of Adelaide Digital Architectures for Artificial.

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School of Electrical & Electronic Engineering Research Expo, Friday6 May 2011 Life Impact | The University of Adelaide Digital Architectures for Artificial Intelligence Braden Phillips Michael Liebelt Brian Ng

School of Electrical & Electronic Engineering Life Impact | The University of Adelaide Slide 1 How many processors? 1? 2? 4? There is one in here. And at least one in here. What about the graphics card… …or the network card? There is one in this vacuum cleaner. The flash memory chips probably have one each. 10 in an iPhone? Over 100 in a BMW.

School of Electrical & Electronic Engineering Life Impact | The University of Adelaide Slide 2 John von Neumann no microprocessors

School of Electrical & Electronic Engineering Life Impact | The University of Adelaide The Problem Digital electronics has one solution for almost everything: the von Neumann processor. It is great for everything from vacuum cleaners to analysing complex civil engineering structures. It is now very highly optimised. There are, however, a few things it is not good at. For example: –Recognition of patterns –Development of concepts –Learning –Open ended problem solving –Language –i.e. important aspects of perception, cognition or intelligence Slide 3

School of Electrical & Electronic Engineering Life Impact | The University of Adelaide The Project Slide 4 John von Neumann’s Brain von Neumann Processor ≠ ≈

School of Electrical & Electronic Engineering Life Impact | The University of Adelaide 2012 Update Since I gave this presentation at the 2011 expo We have identified a body of like-minded research Cognitive Architectures 3 new PhD students have started working on the problem –Muhammad Usman Khan: High Level Abstractions of Cognition and Learning –Francis Li: Holistic Evaluation of Cognitive Architectures, their Capabilities & Requirements –Ying Ying Tiong: the Role of Memory in Cognition and Perception Slide 5