Lifeboat Foundation

Ugh, this is just typical. You think you know the way the world works: wind blows, fire burns, wheels spin and – wait, what’s this thing doing?

What? You mean, it can actually move in any direction without so much as turning on an axis? That’s blowing my mind. I’m no gear head, but I’m sort of attached to having a steering wheel in my car, you know? Now you’re saying that self-driving cars will take those away, and now there won’t even be wheels to turn in the direction you want to go in?

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They want to use the printer to build homes for those in need.

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A computer simulation of a cognitive model entirely made up of artificial neurons learns to communicate through dialog starting from a state of tabula rasa —

A group of researchers from the University of Sassari (Italy) and the University of Plymouth (UK) has developed a cognitive model, made up of two million interconnected artificial neurons, able to learn to communicate using human language starting from a state of ‘tabula rasa’, only through communication with a human interlocutor. The model is called ANNABELL (Artificial Neural Network with Adaptive Behavior Exploited for Language Learning) and it is described in an article published in PLOS ONE. This research sheds light on the neural processes that underlie the development of language.

How does our brain develop the ability to perform complex cognitive functions, such as those needed for language and reasoning? This is a question that certainly we are all asking ourselves, to which the researchers are not yet able to give a complete answer. We know that in the human brain there are about one hundred billion neurons that communicate by means of electrical signals. We learned a lot about the mechanisms of production and transmission of electrical signals among neurons. There are also experimental techniques, such as functional magnetic resonance imaging, which allow us to understand which parts of the brain are most active when we are involved in different cognitive activities. But a detailed knowledge of how a single neuron works and what are the functions of the various parts of the brain is not enough to give an answer to the initial question.

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An artificial intelligence program received such high scores on a standardized test that it’d have an 80% chance of getting into a Japanese university.

The Wall Street Journal reports that the program, developed by Japan’s National Institute of Informatics, took a multi-subject college entrance exam and passed with an above-average score of 511 points out of a possible 950. (The national average is 416.) With scores like that, it has an 8 out of 10 chance of being admitted to 441 private institutions in Japan, and 33 national ones.

Continue reading “An AI Program in Japan Just Passed a College Entrance Exam” »

“The subtitle to this post is a variation of William Gibson’s famous remark: “The future is already here — it’s just not very evenly distributed.” An obvious follow up question is: if the future is already here, where can I find it?”

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If you’re like me, you think a little too much. Your thoughts and ideas swirl around so much in your mind that it can be hard to get much done, and it results in anxiety.

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Welcome to #24 Avatar Technology Digest! We provide you with the latest news on Technology, Medical Cybernetics and Artificial Intelligence the best way we can. Here are the top stories of the last week!

1) Did you know that Disney does more than shoot box office hits and sell toys to your kids? They also have a very active Research Department that specializes in a variety of applications that can be used throughout the Disney empire. And now another interesting innovation has come out of the Research Department, as they have developed a method for generating those 3D printable robots without the need for time and energy-consuming work at all.

2) Being able to identify problems with a person’s body without subjecting them to invasive procedures is the fantasy of all Star Trek doctors. There’s even a prize offering a fortune to anyone who can effectively recreate the tricorder technology out in the real world. Now, Stanford scientists think that they’ve developed a system that, in time, could be used to spot cancerous tumors from a foot away.

Continue reading “#24 AVATAR TECHNOLOGY DIGEST / Get a Virtual-Reality Punch” »

Because of its unique chemical and physical properties, graphene has helped scientists design new gadgets from tiny computer chips to salt water filters. Now a team of researchers from MIT has found a new use for the 2D wonder material: in infrared sensors that could replace bulky night-vision goggles, or even add night vision capabilities to high-tech windshields or smartphone cameras. The study was published last week in Nano Letters.

Night vision technology picks up on infrared wavelengths, energy usually emitted in the form of heat that humans can’t see with the naked eye. Researchers have known for years that because of how it conducts electricity, graphene is an excellent infrared detector, and they wanted to see if they could create something less bulky than current night-vision goggles. These goggles rely on cryogenic cooling to reduce the amount of excess heat that might muddle the image. To create the sensor, the researchers integrated graphene with tiny silicon-based devices called MEMS. Then, they suspended this chip over an air pocket so that it picks up on incoming heat and eliminates the need for the cooling mechanisms found in other infrared-sensing devices. That signal is then transmitted to another part of the device that creates a visible image. When the researchers tested their sensor, they found that it clearly and successfully picked up the image of a human hand.

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The G-Cans project is the largest flood protection in the world. Its official name is Metropolitan Area Outer Underground Discharge Channel, but it is most known as G-Cans Underground Temple because of its support pillars and interior that reminds the visitor of a giant cave. The purpose of this facility is to protect the city of Tokyo from floods. The northern edge of G-Cans touches Kasukabe, a city located in Saitama Prefecture, 30 km north of Tokyo. The necessity of building such facility originated from the danger of overflowing of the rivers and main waterways during typhoons and rain periods.

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