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Digital Architectures for Artificial Intelligence

This presentation by Braden Phillips, Michael Liebelt, and Brian Ng delves into the limitations of the von Neumann architecture in AI development. While digital electronics provide effective solutions for numerous applications, they struggle with vital cognitive functions such as pattern recognition, learning, and problem-solving. The project emphasizes the need for alternative cognitive architectures that go beyond traditional processors. With new PhD research focusing on high-level abstractions of cognition and holistic evaluations, this initiative aims to reshape our understanding of intelligence in digital systems.

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Digital Architectures for Artificial Intelligence

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Presentation Transcript

  1. Digital Architectures forArtificial Intelligence Braden Phillips Michael Liebelt Brian Ng

  2. What about the graphics card… How many processors? 1? 2? 4? And at least one in here. …or the network card? The flash memory chips probably have one each. There is one in here. There is one in this vacuum cleaner. 10 in aniPhone? Over 100 in a BMW.

  3. nomicroprocessors John von Neumann

  4. 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

  5. The Project ≠ von Neumann Processor ? ≈ John von Neumann’s Brain

  6. 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

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