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Archive for the ‘computing’ category: Page 718

Oct 31, 2016

A Tiny Machine: UCSB electrical and computer engineers design an infinitesimal computing device

Posted by in categories: computing, engineering, nanotechnology, particle physics

Abstract: In 1959 renowned physicist Richard Feynman, in his talk “Plenty of Room at the Bottom,” spoke of a future in which tiny machines could perform huge feats. Like many forward-looking concepts, his molecule and atom-sized world remained for years in the realm of science fiction.

And then, scientists and other creative thinkers began to realize Feynman’s nanotechnological visions.

In the spirit of Feynman’s insight, and in response to the challenges he issued as a way to inspire scientific and engineering creativity, electrical and computer engineers at UC Santa Barbara have developed a design for a functional nanoscale computing device. The concept involves a dense, three-dimensional circuit operating on an unconventional type of logic that could, theoretically, be packed into a block no bigger than 50 nanometers on any side.

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Oct 31, 2016

No Technology Thrives Alone: Progress Is All About Convergence

Posted by in categories: biotech/medical, business, computing, Ray Kurzweil

15 years ago, Ray Kurzweil published one of the most significant essays in the history of futurism: “The Law of Accelerating Returns.” This piece showcased the immense power of exponential technology versus linear technology and became a pivotal concept for anyone trying to anticipate what the future held.

The essay predicted advances in business and technology with eerie precision, including how exponential growth would ripple through any technology that became an information technology, such as computing, biotechnology, or energy.

[ Go here to learn more about the law of accelerating returns ]

Continue reading “No Technology Thrives Alone: Progress Is All About Convergence” »

Oct 30, 2016

Breaking into the Simulated Universe

Posted by in categories: computing, Elon Musk, ethics, internet, neuroscience

I argued in my 2015 paper “Why it matters that you realize you’re in a Computer Simulation” that if our universe is indeed a computer simulation, then that particular discovery should be commonplace among the intelligent lifeforms throughout the universe. The simple calculus of it all being (a) if intelligence is in part equivalent to detecting the environment (b) the environment is a computer simulation © eventually nearly all intelligent lifeforms should discover that their environment is a computer simulation. I called this the Savvy Inevitability. In simple terms, if we’re really in a Matrix, we’re supposed to eventually figure that out.

Silicon Valley, tech culture, and most nerds the world over are familiar with the real world version of the question are we living in a Matrix? The paper that’s likely most frequently cited is Nick Bostrom’s Are you living in a Computer Simulation? Whether or not everyone agrees about certain simulation ideas, everyone does seem to have an opinion about them.

Recently, the Internet heated up over Elon Musk’s comments at a Vox event on hot tub musings of the simulation hypothesis. Even Bank of America published an analysis of the simulation hypothesis, and, according to Tad Friend in an October 10, 2016 article published in New Yorker, “two tech billionaires have gone so far as to secretly engage scientists to work on breaking us out of the simulation.”

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Oct 30, 2016

Nightmare Machine at CSIRO is slowly but surely learning how to terrify humans

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

Story just in time for Halloween.


The prospect of artificial intelligence is scary enough for some, but Manuel Cebrian Ramos at CSIRO’s Data61 is teaching machines how to terrify humans on purpose.

Dr Cebrian and his colleagues Pinar Yanardag and Iyad Rahwan at the Massachusetts Institute of Technology have developed the Nightmare Machine.

Continue reading “Nightmare Machine at CSIRO is slowly but surely learning how to terrify humans” »

Oct 30, 2016

Quantum Liquid on Bismuth Crystal Could Lead to Faster Electronics

Posted by in categories: computing, quantum physics

Luv this!


In Brief:

  • Researchers have demonstrated how electrons travel on different elliptical paths by using a quantum crystal kept at low temperatures.
  • The discovery could lead to a new class of microchips far beyond the capabilities of today’s silicon chips.

New developments from Princeton University and the University of Texas-Austin have revealed odd behavior in electrons that could lay the foundation for a new generation of faster microchips, according to a study published in Science.

Continue reading “Quantum Liquid on Bismuth Crystal Could Lead to Faster Electronics” »

Oct 29, 2016

How Smart Beta ETFs of the Future Will Use AI

Posted by in categories: bioengineering, biological, computing, economics, finance, information science, quantum physics, robotics/AI

Anyone who does not have QC as part of their 5+Yr Roadmap for IT are truly exposing their company as well as shareholders and customers. China, Russia, Cartels, DarkNet, etc. will use the technology to extort victims, destroy companies, economies, and complete countries where folks have not planned, budget, skilled up, and prep for full replacement of their infrastructure and Net access. Not to mention companies who have this infrastructure will provide better services/ CCE to svc. consumers.


In a recent article, we highlighted a smart beta ETF called the “Sprott BUZZ Social Media Insights ETF” that uses artificial intelligence (AI) to select and weight stocks. If we stop and think about that for a moment, that’s a pretty cool use of AI that seems well ahead of its time. Now we’re not saying that you should go out and buy this smart beta ETF right away. It uses social media data. We know that on social media, everyone’s an expert and many of the opinions that are stated are just that, opinions. However some of the signals may be legitimate. Someone who just bought Apple is likely to go on telling everyone how bullish they are on Apple shares. Bullish behavior is often accompanied by bullish rhetoric. And maybe that’s exactly the point, but the extent to which we’re actually using artificial intelligence here is not that meaningful. Simple scripting tools go out and scrape all this public data and then we use natural language processing (NLP) algorithms to determine if the data artifacts have a positive or negative sentiment. That’s not that intelligent, is it? This made us start to think about what it would take to create a truly “intelligent” smart beta ETF.

What is Smart Beta?

Continue reading “How Smart Beta ETFs of the Future Will Use AI” »

Oct 29, 2016

New Evidence for the Existence of Majorana Fermions Has Been Uncovered

Posted by in categories: computing, particle physics, quantum physics

In Brief:

  • 80 years after it was first theorized, researchers have found more evidence for the existence of a fermion that’s its own antiparticle.
  • The discovery of Majorana fermions could be the key to developing usable quantum computers.

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Oct 29, 2016

This company wants to put a computer in your brain

Posted by in categories: computing, neuroscience

*BREAKING NEWS* This tech company is investing $100 million dollars to put computers inside our brains!

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Oct 28, 2016

Electrical currents can be now be switched on and off at the atomic scale

Posted by in categories: computing, nanotechnology, particle physics

To all those who said it couldn’t happen for another 10+ years; this article is definitely for you.

Robert Wolkow, University of Alberta

Robert Wolkow, University of Alberta physics professor and the Principal Research Officer at Canada’s National Institute for Nanotechnology, has developed a technique to switch a single-atom channel.

Continue reading “Electrical currents can be now be switched on and off at the atomic scale” »

Oct 28, 2016

First IEEE Conference on Rebooting Computing Focuses on Neuromorphic and Quantum Designs

Posted by in categories: computing, neuroscience, quantum physics

I hope I get invited to speak. Would love to.


Researchers discuss how to make machines more like the human brain—and faster and more energy-efficient.

By MONICA ROZENFELD 28 October 2016

Continue reading “First IEEE Conference on Rebooting Computing Focuses on Neuromorphic and Quantum Designs” »