Links to Follow
Twitter feeds and podcasts to follow.
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.
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.
Useful JPME Links - Australia.
Useful JPME Links - Overseas.
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.
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.
Neuro Embodied Design: How We’ll Become Cyborgs and Extend Human Potential
Humans will soon have new bodies that forever blur the line between the natural and synthetic worlds, says bionics designer Hugh Herr. In an unforgettable talk, he details "NeuroEmbodied Design," a methodology for creating cyborg function that he's developing at the MIT Media Lab, and shows us a future where we've augmented our bodies in a way that will redefine human potential -- and, maybe, turn us into superheroes. "During the twilight years of this century, I believe humans will be unrecognizable in morphology and dynamics from what we are today," Herr says. "Humanity will take flight and soar."