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Archive for the ‘information science’ category: Page 241

Dec 21, 2016

NIST Calls For Submissions Of Quantum-Proof Encryption Algorithms As Threat Of Quantum Computers Looms Closer

Posted by in categories: computing, encryption, information science, quantum physics

Many more great things are coming.


NIST called on cryptography researchers to submit their quantum-proof encryption algorithms by November 30. NIST is the latest government agency to start taking the threat of quantum computers seriously.

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Dec 16, 2016

This Is the Holographic AI Servant of Your Dreams…or Maybe Your Nightmares

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

According to her profile, “She is a comforting character that is great to those living alone. She will always do all she can just for the owner.” How thoughtful and sweet. Except she comes with a $2,600 price tag (and her US version will be sold for $3,000). So, caring for her “owner” is the least she can do, right?


The hologram bot is based on a Japanese anime character, but she isn’t going to be the only character for Gatebox. From the looks of the website, the company is going to make other characters available, presumably also from anime.

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Dec 15, 2016

Accessible Photon Emission Could Bring Quantum Computing Out of the Lab

Posted by in categories: computing, information science, internet, mobile phones, quantum physics

Researchers from the Tyndall National Institute in Cork have created micro-structures shaped like small pyramids that can create entangled photons. Does this mean that quantum computers are closer than we realize?

Quantum computers have been the stuff of science fiction for the past few decades. In recent times, quantum computers have slowly become more of a reality with some machines successfully solving real world problems such as games and path finding algorithms.

But why are quantum computers so desired by tech firms and why is there so much research into the field? Silicon has been incredibly loyal to the tech world for the past 50 years, giving us the point contact transistor in 1947. Now, silicon is at the center of technology with computers, tablets, smartphones, the IoT, and even everyday items. In fact, you cannot walk down a city street without being in range of some Wi-Fi network or influence from a small silicon device.

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Dec 13, 2016

Why Machines Should Go To The University of Google, School of Artificial Intelligence

Posted by in categories: biotech/medical, education, information science, robotics/AI

Now that’s an idea; education for systems. I can see the online university advertisements now showing an autonomous car beeping and flashing its lights over the enjoyment of graduating.


What if I told you to tie your shoes, but you had no laces? Or to cook dinner, but you had no pots or pans.

There are certain tools we need to succeed, which we often don’t have access to or are held back by a gatekeeper.

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Dec 6, 2016

Evolution’s Brutally Simple Rules Can Make Machines More Creative

Posted by in categories: bioengineering, biological, computing, economics, information science

Creative Machines; however, are they truly without a built in bias due to their own creator/s?


Despite nature’s bewildering complexity, the driving force behind it is incredibly simple. ‘Survival of the fittest’ is an uncomplicated but brutally effective optimization strategy that has allowed life to solve complex problems, like vision and flight, and colonize the harshest of environments.

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Dec 6, 2016

New Developments in Quantum Computing Impact Bitcoin

Posted by in categories: bitcoin, computing, encryption, information science, quantum physics

Quantum computing might be closer than we thought, thanks to a series of newly developed scientific methods. Furthermore, a new implementation of Shor’s algorithm increases the urgency of getting Bitcoin ready for the advent of quantum computing.

Also read: NIST Starts Developing Quantum-Resistant Cryptography Standards.

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Dec 5, 2016

The 10 Algorithms Machine Learning Engineers Need to Know

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

Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

By James Le, New Story Charity.

Blackboard header

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Dec 4, 2016

Breakthrough prize awards $25m to researchers at ‘Oscars of science’

Posted by in categories: bioengineering, information science, quantum physics, science

It is not often that a scientist walks the red carpet at a Silicon Valley party and has Morgan Freeman award them millions of dollars while Alicia Keys performs on stage and other A-listers rub shoulders with NASA astronauts.

But the guest list for the Breakthrough prize ceremony is intended to make it an occasion. At the fifth such event in California last night, a handful of the world’s top researchers left their labs behind for the limelight. Honoured for their work on black holes and string theory, DNA repair and rare diseases, and unfathomable modifications to Schrödinger’s equation, they went home to newly recharged bank accounts.

Founded by Yuri Milner, the billionaire tech investor, with Facebook’s Mark Zuckerberg and Google’s Sergey Brin, the Breakthrough prizes aim to right a perceived wrong: that scientists and engineers are not appreciated by society. With lucrative prizes and a lavish party dubbed “the Oscars of science”, Milner and his companions want to elevate scientists to rock star status.

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Dec 1, 2016

A.I. Can Teach Itself to Recognize Faces Now

Posted by in categories: biological, information science, mathematics, robotics/AI

The goal of roboticists has long been to make A.I. as efficient as the human brain, and researchers at the Massachusetts Institute of Technology just brought them one step closer.

In a recent paper, published in the journal Biology, scientists were able to successfully train a neural network to recognize faces at different angles by feeding it a set of different orientations for several face templates. Although this only initially gave the neural network the ability to roughly reach invariance — the ability to process data regardless of form — over time, the network taught itself to achieve full “mirror symmetry. Through mathematical algorithms, the neural network was able to mimic the human brain’s ability to understand objects are the same despite orientation or rotation.

The brain requires three different layers to process image orientation.

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Nov 28, 2016

Researchers may have uncovered an algorithm that explains intelligence

Posted by in categories: information science, mathematics, neuroscience, robotics/AI

What if a simple algorithm were all it took to program tomorrow’s artificial intelligence to think like humans?

According to a paper published in the journal Frontiers in Systems Neuroscience, it may be that easy — or difficult. Are you a glass-half-full or half-empty kind of person?

Researchers behind the theory presented experimental evidence for the Theory of Connectivity — the theory that all of the brains processes are interconnected (massive oversimplification alert) — “that a simple mathematical logic underlies brain computation.” Simply put, an algorithm could map how the brain processes information. The painfully-long research paper describes groups of similar neurons forming multiple attachments meant to handle basic ideas or information. These groupings form what researchers call “functional connectivity motifs” (FCM), which are responsible for every possible combination of ideas.

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