
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.

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.

Redefining the Center of Gravity
COL Dale C. Eikmeier, USA (Ret.), is an Assistant Professor at the U.S. Army Command and General staff College. COL Eikmeier shares his thoughts on identifying Center of Gravity. This method will provide campaign planners with an analytical tool that will fulfil doctrinal intent.

Understanding Centers of Gravity and Critical Vulnerabilities (Part 2 of 2)
Part two of a two-part article written by Professor Joseph L. Strange, Marine Corps War College and COL Richard Iron, British Army.
This paper examines the role of centers of gravity in operational design, looking at the relationship between centers of gravity and critical vulnerabilities. It suggests an analytical model that joint warfighters and planners on both sides of the Atlantic can use to assist strategic and operational-level planning. The model helps to analyze existing and potential vulnerabilities of a center of gravity, and determine which of those could be especially critical.

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.

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.

Managing World War: The Army Service Force and General Servell’s Rules for Getting Things Done
The high ratio of support to combat forces is indispensable in carrying out conflict where technology and material superiority is even more important than soldiers on the battlefield.

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.

Why Would Prosthetic Arms Need to See or Connect to Cloud AI?
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.