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Archive for the ‘information science’ category: Page 254

Jun 13, 2016

Movie written by AI algorithm turns out to be hilarious and intense

Posted by in categories: computing, entertainment, information science, robotics/AI

A cool experiment — a movie script written by a computer algorithm. It’s actually pretty riveting, but I challenge you to figure out what it’s about, LOL! bigsmile (Y) #AIScreenwriter #WhatDoesItMean

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Jun 10, 2016

Researchers demonstrate a 100x increase in the amount of information that can be ‘packed into light’

Posted by in categories: futurism, information science

The rise of big data and advances in information technology has serious implications for our ability to deliver sufficient bandwidth to meet the growing demand.

Researchers at the University of the Witwatersrand in Johannesburg, South Africa, and the Council for Scientific and Industrial Research (CSIR) are looking at alternative sources that will be able to take over where traditional optical communications systems are likely to fail in future.

In their latest research, published online today (10 June 2016) in the scientific journal, Scientific Reports, the team from South Africa and Tunisia demonstrate over 100 patterns of used in an optical communication link, potentially increasing the of by 100 times.

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Jun 9, 2016

Tennessee startup plans to create 3D printed house

Posted by in categories: 3D printing, habitats, information science, robotics/AI

Wishing them luck.


Tennessee -based Branch Technology has announced it will begin construction of a 3D-printed house in 2017. Designed by Honolulu-based WATG, the project was initiated for the Freeform Home Design Challenge, which asked participants to design for Branch’s Cellular Fabrication (C-Fab) 3D printing technology. The small house designs were required to be between 600 and 800 square feet.

Branch’s C-Fab technology involves 3D printing carbon-fiber-reinforced ABS plastic with a large robotic arm. The resulting formwork can then be covered in more traditional building materials, such as concrete or foam. Instead of the typical completely 3D printed additive technique, C-Fab uses an algorithm to formulate an interior framework for the structure.

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Jun 9, 2016

Life Extension, Insilico Medicine team up to identify novel biomarkers of human aging

Posted by in categories: biotech/medical, health, information science, life extension

Life Extension e InSilico Medicine anunciaram uma esforço colaborativo para identificar romance biomarcadores de envelhecimento humano através do uso de big data analytics e inteligência artificial.

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Jun 6, 2016

Walking and talking behaviors may help predict epidemics and trends

Posted by in categories: biotech/medical, information science, mathematics, mobile phones

Wow!


Mobile phone data may reveal an underlying mathematical connection between how we move and how we communicate that could make it easier to predict how diseases—and even ideas—spread through a population, according to an international team of researchers.

“This study really deepens our quantitative understanding of human behavior,” said Dashun Wang, assistant professor of and technology, Penn State. “We would like to think that we control our own behavior and we can do what we want to do. But, what we are starting to see with is that there is a very deep regularity underlying much of what we do.”

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Jun 6, 2016

Historian: When Computers and Biology Converge, Organisms Become Algorithms

Posted by in categories: biotech/medical, computing, economics, food, information science

On May 11, 2016, the Berggruen Philosophy and Culture Center invited Yuval Noah Harari, a professor of history at Hebrew University of Jerusalem and author of the international bestseller “Sapiens: A Brief History of Humankind,” to deliver a talk on “The New Inequalities” at Tsinghua University in Beijing. Prior to the talk, Harari was interviewed by BPPC director Daniel A. Bell. This is an edited transcript of the interview.

You argue in your book that material progress, for example in the agriculture revolution and industrial capitalism doesn’t necessarily contribute to human happiness. In fact, it may lead to the opposite. Can you elaborate on that?

Until the middle of the 19th century there was a complete lack of correlation between material progress and the well-being of individual humans. For thousands of years until about 1850 you see humans accumulating more and more power by the invention of new technologies and by new systems of organization in the economy and in politics, but you don’t see any real improvement in the well-being of the average person. If you are the emperor of China, then obviously you’re much better off. But if you’re an average Chinese peasant in 1850, it’s very, very hard to say that your life is any better than the life of hunter-gatherers in the Yangtze Valley 20,000 years ago. You work much harder than them, your diet is worse, you suffer far more from infectious diseases, and you suffer far more from social inequality and economic exploitation.

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Jun 1, 2016

What Will Electronics & Semiconductors Be Like In 100 Years?

Posted by in categories: computing, electronics, information science, nanotechnology, singularity

When I 1st read this headline, I had to pause and ask myself “was the article’s author informed at all on QC?” especially given China’s own efforts much less D-Wave, Google, and University of Sydney. And, then I read the article and I still have to wonder if the author is on top of the emerging technologies such as BMI, graphene, QC, and other nanotechnology that are already being tested to go live in the next 7 to 10 years plus much of the content is very superficial at best. I am glad that the author did put the tid bit on Singularity as the endpoint state; however, that is pretty well known. Nonetheles, sharing to let you be the judge.


For decades, we relied on silicon as the semiconductor for our computer chips. But now, working at nanometer scales, it looks like physical limitations may end the current methods to include more and more processing power onto each individual chip.

Many companies are making billion-dollar investments to continue scaling down semiconductor technology. The pressures of big data and cloud computing are pushing the limits of the current semiconductor technology in terms of bandwidth, memory, processing speed, and device power consumption.

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Jun 1, 2016

Watch radio controlled car that taught itself to DRIFT

Posted by in categories: education, information science, transportation

Georgia Institute of Technology developed a control algorithm that ‘taught’ 3-ft, 48lb rally cars how to plan and execute optimal handling decisions in real-time while on rough terrain.

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May 31, 2016

TruthSift: A Platform for Collective Rationality

Posted by in categories: biotech/medical, business, computing, disruptive technology, education, existential risks, information science, innovation, science, scientific freedom

“So there came a time in which the ideas, although accumulated very slowly, were all accumulations not only of practical and useful things, but great accumulations of all types of prejudices, and strange and odd beliefs.
Then a way of avoiding the disease was discovered. This is to doubt that what is being passed from the past is in fact true, and to try to find out ab initio again from experience what the situation is, rather than trusting the experience of the past in the form in which it is passed down. And that is what science is: the result of the discovery that it is worthwhile rechecking by new direct experience, and not necessarily trusting the [human] race[’s] experience from the past. I see it that way. That is my best definition…Science is the belief in the ignorance of experts.“
–Richard P Feynman, What is Science? (1968)[1]

TruthSift.com is a platform designed to support and guide individuals or crowds to rationality, and make them smarter collectively than any unaided individual or group. (Free) Members use TruthSift to establish what can be established, refute what can’t be, and to transparently publish the demonstrations. Anyone can browse the demonstrations and learn what is actually known and how it was established. If they have a rational objection, they can post it and have it answered.

Whether in scientific fields such as climate change or medical practice, or within the corporate world or political or government debate, or on day to day factual questions, humanity hasn’t had a good method for establishing rational truth. You can see this from consequences we often fail to perceive:
Peer reviewed surveys agree: A landslide majority of medical practice is *not* supported by science [2,3,4]. Scientists are often confused about the established facts in their own field [5]. Within fields like climate science and vaccines, that badly desire consensus, no true consensus can be reached because skeptics raise issues that the majority brush aside without an established answer (exactly what Le Bon warned of more than 100 years ago[6]). Widely consulted sources like Wikipedia are reported to be largely paid propaganda on many important subjects [7], or the most popular answer rather than an established one [8]. Quora shows you the most popular individual answer, generated with little or no collaboration, and often there is little documentation of why you should believe it. Existing systems for crowd sourced wisdom largely compound group think, rather than addressing it. Existing websites for fact checking give you someone’s point of view.

Corporate or government planning is no better. Within large organizations, where there is inevitably systemic motivation to not pass bad news up, leadership needs active measures to avoid becoming clueless as to the real problems [9]. Corporate or government plans are subject to group think, or takeover by employee or other interests competing with the mission. Individuals who perceive mistakes have no recourse capable of rationally pursuading the majority, and may anyway be discouraged from speaking up by various consequences[6].

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May 29, 2016

Automating DNA origami opens door to many new uses

Posted by in categories: biotech/medical, information science

MIT biological engineers have developed an algorithm for building DNA nanoparticles automatically, paving the way to many more applications for “DNA origami.”

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