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Archive for the ‘computing’ category: Page 709

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?

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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.

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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

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Oct 28, 2016

How Economists View the Rise of Artificial Intelligence

Posted by in categories: computing, economics, robotics/AI

Machine learning will drop the cost of making predictions, but raise the value of human judgement.

To really understand the impact of artificial intelligence in the modern world, it’s best to think beyond the mega-research projects like those that helped Google recognize cats in photos.

According to professor Ajay Agrawal of the University of Toronto, humanity should be pondering how the ability of cutting edge A.I. techniques like deep learning —which has boosted the ability for computers to recognize patterns in enormous loads of data—could reshape the global economy.

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Oct 28, 2016

Ultra-low-power transistors could function for years without a battery

Posted by in category: computing

“If we were to draw energy from a typical AA battery based on this design, it would last for a billion years.” — Sungsik Lee, PhD, in the journal Science.


Schematic cross-section of an Indium-gallium-zinc-oxide (IGZO) thin-film transistor [inset: schematic illustrations of atomic structures for less compensated (left) and more compensated (right) IGZO films, respectively] (credit: Sungsik Lee and Arokia Nathan/Science)

The transistors can be produced at low temperatures and can be printed on almost any material, such as glass, plastic, polyester fabrics, and paper.

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Oct 27, 2016

Wiring the brain with artificial senses and limb control

Posted by in categories: biotech/medical, computing, cyborgs, robotics/AI

There have been significant advances in developing new prostheses with a simple sense of touch, but researchers are looking to go further. Scientists and engineers are working on a way to provide prosthetic users and those suffering from spinal cord injuries with the ability to both feel and control their limbs or robotic replacements by means of directly stimulating the cortex of the brain.

For decades, a major goal of neuroscientists has been to develop new technologies to create more advanced prostheses or ways to help people who have suffered spinal cord injuries to regain the use of their limbs. Part of this has involved creating a means of sending brain signals to disconnected nerves in damaged limbs or to robotic prostheses, so they can be moved by thought, so control is simple and natural.

However, all this had only limited application because as well as being able to tell a robotic or natural limb to move, a sense of touch was also required, so the patient would know if something has been grasped properly or if the hand or arm is in the right position. Without this feedback, it’s very difficult to control an artificial limb properly even with constant concentration or computer assistance.

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Oct 27, 2016

Experts State Robots Will Take Over Additional 850,000 Jobs By 2030

Posted by in categories: business, computing, employment, government, policy, robotics/AI, transportation

Tough times lay ahead for human workers. With the advent of automation comes a much smaller job market and an ever-shrinking work force. Jobs traditionally held by humans are now being taken over by robots and computer software. Now, another job sector is being threatened by automation: the public sector.

A study conducted by Oxford University and Deloitte, a business advisory firm, found that 850,000 public sector jobs in the UK are at risk of being lost by 2030 due to automation. The report also mentions how more than 1.3 million administrative jobs in the public sector have a 77% probability of being automated. These jobs include highly repetitive jobs like clerical work and transportation work.

–This report comes as good news to fiscal policy makers who wish to cut costs. It shows the government can save up to £12 billion in public sector wages by 2030.

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Oct 26, 2016

Quantum Bit MRI Machine to See Shapes of Individual Biomolecules for Drug Research

Posted by in categories: biotech/medical, computing, particle physics, quantum physics

Drug discovery is a long and difficult process that requires a comprehensive understanding of the molecular structures of compounds under investigation. It’s difficult to have an idea of the precise shape of complex molecules such as proteins, but researchers at University of Melbourne in Australia have come up with a way of seeing the location of individual atoms within biomolecules.

Using quantum bits, most notably utilized in quantum computer research, the investigators offer a way of producing a magnetic resonance sensor and a magnetic field gradient that can work as a tiny MRI machine. The machine would have the resolution capable of seeing single atoms components of larger molecules. This MRI machine has yet to be actually built, but the steps have been laid out based on comprehensive theoretical work. If it proves successful in practice, the technology may overcome current imaging techniques that rely on statistical averages and don’t work well on molecules that don’t crystallize well.

“In a conventional MRI machine large magnets set up a field gradient in all three directions to create 3D images; in our system we use the natural magnetic properties of a single atomic qubit,” said lead author of the research Viktor Perunicic. “The system would be fabricated on-chip, and by carefully controlling the quantum state of the qubit probe as it interacts with the atoms in the target molecule, we can extract information about the positions of atoms by periodically measuring the qubit probe and thus create an image of the molecule’s structure.”

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