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.
Core Areas of Study
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.
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.
This article from Jane’s International Defence Review discusses the use of Visual Detection and Ranging (ViDAR) technology on the ScanEagle unmanned aerial system (UAS) platform to provide detection capabilities comparable to radar using Electrooptical (EO) and Infra Red (IR) sensors.
This article explores some of the important aspects of AI and its subfields, including a brief history of its development. It defines key AI terminology and language and set a useful start-state for further targeted study.
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.
Logistics! Its not something we usually think about. Not many people understand the concept, or its impact on the progress of society. It is the lifeblood of economy – of any home, organisation, city or country.
Advances in neuroscience and AI could revolutionise medicine but they also pose significant ethical and social challenges. If a brain computer interface can allow a blind person to see, or restore speech to those who've lost the ability to communicate, what does this mean for a person's sense of self, personal responsibility or privacy?
“This blog post is about the UC Berkeley Virtual Tutor project and the speech recognition technologies that were tested as part of that effort. We share best practices for machine learning and artificial intelligence techniques in selecting models and engineering training data for speech and image recognition.
Scientists have developed a means to 3D print electronics onto the skin as a form of wearable technology akin to a tattoo. It is proposed that further development of this technology will allow these tattoos to monitor our vitals, and feed us personalized health advice in real time.
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.
This summary of a lecture by Microsoft’s CTO discusses the integration of sensor technology and cloud based AI in low cost, 3D printed prosthetic arms.