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Injustice, Ethereum and the information renaissance…

Quoted: “I recall reading somewhere that “Ethereum is to Bitcoin as an iPhone is to a calculator”, which is a pretty good analogy. Bitcoin proved to us that it was possible to keep a tamper-proof system synchronised across the globe. There really is no reason the same system can’t be applied to other problems in the same way we apply normal computers to them.

Ethereum is a single computer spread out over the internet, processing the information we all feed it together. I guess you could call it a ‘shared consciousness’ if you wanted to.

In this computer, information cannot be suppressed. In this computer, ideas and trust rule. Work and reputation are visible and independently verifiable. Anyone can contribute and everyone is automatically safe. Collaboration will overcome privatisation as people work together to build an open network of ideas contributing to the betterment of us all. They are calling it internet 3.0. And though web 2.0 was a thing in some ways, I think we’ll look back at everything up until this point as the first internet. The internet we built by adapting old communication lines into new ways of communicating. The internet we built when we were still used to centralising responsibility for things.”

Read the article here > http://pospi.spadgos.com/2014/11/30/injustice-ethereum-and-t…naissance/

The Coming Problem of Our iPhones Being More Intelligent Than Us

By — SingularityHub

Ray Kurzweil made a startling prediction in 1999 that appears to be coming true: that by 2023 a $1,000 laptop would have the computing power and storage capacity of a human brain. He also predicted that Moore’s Law, which postulates that the processing capability of a computer doubles every 18 months, would apply for 60 years — until 2025 — giving way then to new paradigms of technological change.

Kurzweil, a renowned futurist and the director of engineering at Google, now says that the hardware needed to emulate the human brain may be ready even sooner than he predicted — in around 2020 — using technologies such as graphics processing units (GPUs), which are ideal for brain-software algorithms. He predicts that the complete brain software will take a little longer: until about 2029. Read more

Putting the Data Science into Journalism

Keith Kirkpatrick | Communications of the ACM
“‘There’s this whole realization that if news organizations are to attract an audience, it’s not going to be by spewing out the stuff that everyone else is spewing out,’ says David Herzog, a professor at the University of Missouri …‘It is about giving the audience information that is unique, in-depth, that allows them to explore the data, and also engage with the audience.’” Read more

HP’s Audacious Idea for Reinventing Computers

Tom Simonite | Technology Review
“Nearly three-quarters of the people in HP’s research division are now dedicated to a single project: a powerful new kind of computer known as ‘the Machine.’ It would fundamentally redesign the way computers function, making them simpler and more powerful. If it works, the project could dramatically upgrade everything from servers to smartphones—and save HP itself.”

Read more

Russian Millionaire Taking Artificial Intelligence to Next Level

By — NewsWeek

Despite his millions, the world of Moscow property development left Nikolay Gurianov “really bored.” Two motorbike crashes later, he reckoned it was time to move on, find a new business and swap two wheels for four.

He asked a marketeer: “What is the most interesting business that isn’t property, oil, armaments, diamonds, drugs or slavery?” And so began his career in IT—and a switch to Aston Martins.

In 2002, he set up Braintree, a technology outfit that helped Russian firms “optimise databases.” But databases too failed to ignite Gurianov. Drifting, he lit on artificial intelligence (AI). At last, here was a challenge fit for both intellect and wallet. Read more

A Way to Hide Corporate Data from Hackers

By Tom Simonite — MIT Technology Review
Social-security and credit-card numbers frequently leak or are stolen from corporate networks—and surface on the black market. Adam Ghetti, founder of Ionic Security, says he has invented technology that could largely end the problem. His software keeps corporate data such as e-mails and documents encrypted at all times, except for when someone views it on an authorized computer or mobile device.

Workers at a company using Ghetti’s system can create and exchange e-mails or documents as normal. But Ionic’s software invisibly encrypts what they type on the fly. If someone tries to load a stolen document on a computer outside the company’s network, they would see only the encrypted data—a jumbled string of letters. “A network breach no longer has to mean a data breach,” says Ghetti.

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