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.
Core Areas of 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.
This article is a Backgrounder document produced by the US Council on Foreign Relations outlining North Korea’s military capabilities with a particular focus on unconventional weapons. The article addresses the current state and source of origin of North Korea’s current arsenal of nuclear, chemical and biological weapons, as well as their delivery platforms.
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."
What if you could search the surface of the Earth the same way you search the internet? Will Marshall and his team at Planet use the world's largest fleet of satellites to image the entire Earth every day. Now they're moving on to a new project: using AI to index all the objects on the planet over time -- which could make ships, trees, houses and everything else on Earth searchable, the same way you search Google. He shares a vision for how this database can become a living record of the immense physical changes happening across the globe. "You can't fix what you can't see," Marshall says. "We want to give people the tools to see change and take action."
Speaking to staff and cadets at the United States’ West Point Academy, Dr. Phillip Karber describes what he has learned about the Russian way of war from thirty trips he has made to Ukraine, including six months on the front lines of the war in the country's east. This lecture highlights how a re-imagined Russian military is conducting technologically advanced joint-land combat against a ‘near peer’ military – the Ukrainian Armed Forces.