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.
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.
First Principles Review - Creating One Defence
The Review Team were tasked with ensuring that Defence is fit for purpose and is able to deliver against its strategy with the minimum resources necessary. Using a structured framework, the team have conducted an end-to-end holistic review based on the outcomes required of Defence and founded on the first principles agreed by the review team.
A Beginner's Guide to Artificial Intelligence, Machine Learning, and Cognitive Computing
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.
Capability Boost: Trials Demonstrate Enhanced ViDAR/ScanEagle Package
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.
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.
Future of Logistics Systems in Defence
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.
What If Your Data Was Valued Like Currency? At This Café, It Is.
Shiru café offers students a free coffee in exchange for personal data. The data is related to their future employment desires, their habits during work and their use of social media. The café is open in informing students that this information will be passed to employment agencies and potential employers.
17 - 18 Annual Report
This is the Secretary of Defence and Chief of the Defence Force’s performance report to the Minister for Defence, the Parliament of Australia and the Australian public for the 2017–18 financial year. The report addresses the purposes and outcomes of the Department of Defence, including the Australian Defence Force—collectively known as Defence.
AI-Based Virtual Tutors – The Future of Education?
“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.
Glimpse: How Electronic Tattoos Will Change The World — And Ourselves
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.
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.