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Core Areas of Study

Technology and Capability: Study Australian Defence Force capabilities. Resources cover the capability life cycle and project management including their relationship to future operational concepts. Topics include emerging technologies and their relevance to future joint warfare.
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8 min

Reforming Culture: Preparing Defence for AI

Every day, artificial intelligence (AI) becomes more accessible, scalable and affordable. Disruption is not only possible, it is an inevitable - and leaders must start preparing for it now. However, the Australian Defence Forces’ (ADF) organisational culture is poorly equipped for - if not entirely opposed to - the fast and complete adoption of AI-enabled warfare. This paper explores the changes that Defence will need to make in order to prepare for artificial intelligence.

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Is AI Really a Threat to Humanity?

This article comments on the impact of Cognitive Bias, found in AI systems, on our future. It provides the examples of the biased systems and asks the fundamental questions on our strategy going forward. The article is suitable for all the levels of JMPE continuum, and will be of interest to those particularly interested in Cognitive computing or Artificial Intelligence.

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Catalogue of Technology, Knowledge and Concepts by Best-Selling Author Ray Kurzweil

Kurzweil Network is a small format digest — featuring hand-picked, specially curated stories and resources. This website is also home to the permanent collection of writings and commentary by Ray Kurzweil. It follows progress in the science and technology landscape, with topics including biology, nanotech, materials science, electronics, computation, artificial intelligence, robotics, web, pattern recognition, virtual reality, and prosthetics + body augmentation.

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Google Ponders the Shortcomings of Machine Learning

This article discusses Google’s AI research project Google Brain and DeepMind and their explanation for why, despite advances in computing power, machine learning still lags behind human cognitive skills, particularly the ability to “generalize beyond one’s experience”. The article describes the use of graphs of relationships to replicate neural networks as a potential area of future advancement in machine learning and artificial intelligence.

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Artificial intelligence system uses transparent, human-like reasoning to solve problems

This article describes a method by which a computer can recognise objects using Transparency by Design Network (TbD-Net) developed at the MIT Lincoln Laboratory. Researchers have used human-like reasoning to develop an algorithm which they claim can outperform other visual recognition software and algorithms because humans can view its reasoning process to determine where and how it is making mistakes.