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.
Military Culture, Learning and Adaptation during the Burma Campaign 1942-1945
This essay discusses how military culture and learning and adaptation on both sides affected the outcome of the Burma Campaign 1942–1945. The British 14th Army developed a military culture of learning and adaptation which led to their victory while the Imperial Japanese Army had an existing military culture based upon tenets of Bushido, which constrained their ability to learn and adapt and in turn led to their defeat.
Thucydides Trap: A lesson in strategy and chance from ancient Greece
Understanding the challenges to British and French Imperialism 1900-1939– An application of the D.I.M.E model
The period between 1900-1939 is said to have created the characteristics of modern war and the global order as we know it. This period saw two World Wars, political revolutions, unprecedented innovation, the introduction of a third military service and created the pre-conditions that resulted in the end of Western imperialism.
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.
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.
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.
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.