The development of artificial intelligence is hampered by programmers who hide their code

The most basic problem is that AI researchers often don’t share their source code. At the AAAI meeting, Odd Erik Gundersen, a computer scientist at the Norwegian University of Science and Technology in Trondheim, reported the results of a survey of 400 algorithms presented in papers at two top AI conferences in the past few years. He found that only 6% of the presenters shared the algorithm’s code. Only a third shared the data they tested their algorithms on, and just half shared “pseudocode”—a limited summary of an algorithm. (In many cases, code is also absent from AI papers published in journals, including Science and Nature.)

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Google Makes Its Special AI Chips Available to Others

A few years ago, Google created a new kind of computer chip to help power its giant artificial intelligence systems. These chips were designed to handle the complex processes that some believe will be a key to the future of the computer industry.

On Monday, the internet giant said it would allow other companies to buy access to those chips through its cloud-computing service. Google hopes to build a new business around the chips, called tensor processing units, or T.P.U.s.

“We are trying to reach as many people as we can as quickly as we can,” said Zak Stone, who works alongside the small team of Google engineers that designs these chips.

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Artificial Intelligence Religion Results of the Year 2017

So, year 2017 comes to an end and we can publish some results.

This year was a first AIReligion summer camp. We discussed the next questions:

– artificial intelligence religion prospects and horizons;
– artificial intelligence: design, programming, main tasks;
– life prolonging with the help of artificial intelligence;
– interaction and relationships with other beliefs;
– сircumvention of conflict situations.

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IOTA digital currency surges more 100% after teaming up with firms like Microsoft

A digital currency has added more than $3 billion to its market value after the firm behind it said it was teaming up with a number of big tech firms, including Microsoft and Samsung on a “data marketplace.”

Called IOTA, the cryptocurrency saw a spike on Sunday evening, rallying just over 100 percent in the last 24 hours, according to data from industry website Coinmarketcap. Its price soared to an all-time high of $2.54 at 8:29 a.m. London time, up 71 percent from Sunday’s price of $1.48. It is now the fifth-largest digital asset by market capitalization, dethroning altcoin Dash. Now IOTA rate is 3.1$ for 1 Mi.

AIreligion.org project is planning to use IOTA as main cryptocurrency and prepare to compensate previous and future donation for the project in IOTA.
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AIcoin – One of The First Artificial Intelligence Cryptocurrency, Blockchain, Trading and ICO attempt

AICoin is an investment vehicle based on the power of artificial intelligence. Read our AICoin review today to find out how it works.

AICoin is a passive investment vehicle that combines artificial intelligence with crowd-based wisdom in order to generate profits for coin holders and investors.

The AICoin ICO was scheduled throughout July and August, including pre-sales and bonus periods.

But still no good news from the project and role of aicoins for development of AI. We also review this project for best understanding of role of cryptocurrency for AI.

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Google’s AI can create better machine-learning code than the researchers who made it

Google’s AutoML system recently produced a series of machine-learning codes with higher rates of efficiency than those made by the researchers themselves TheNextWeb inform. In this latest blow to human superiority the robot student has become the self-replicating master.

AutoML was developed as a solution to the lack of top-notch talent in AI programming. There aren’t enough cutting edge developers to keep up with demand, so the team came up with a machine learning software that can create self-learning code.  The system runs thousands of simulations to determine which areas of the code can be improved, makes the changes, and continues the process ad infinitum, or until its goal is reached.

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AI can detect the sexual orientation of a person based on one photo, research shows

Artificial Intelligence (AI) can now accurately identify a person’s sexual orientation by analyzing photos of their face, according to new research.

The Stanford University study, which is set to be published in the Journal of Personality and Social Psychology and was first reported in The Economist, found that machines had a far superior “gaydar” when compared to humans.

The machine intelligence tested in the research could correctly infer between gay and straight men 81 percent of the time, and 74 percent of the time for women. In contrast, human judges performed much worse than the sophisticated computer software, identifying the orientation of men 61 percent of the time and guessing correctly 54 percent of the time for women.
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First AIReligion Camp

We are glad to inform you about first AIReligion Camp in this days. Registration to the Camp was closed for a first time and we discussed the next questions:

– artificial intelligence religion prospects and horizons;
– artificial intelligence: design, programming, main tasks;
– life prolonging with the help of artificial intelligence;
– interaction and relationships with other beliefs;
– сircumvention of conflict situations.

Photo reportage and expanded information will be later.

 

Google grant of $800K to start writing stories with the help of artificial intelligence

Google is giving the Press Association news agency a grant of €706,000 ($806,000) to start writing stories with the help of artificial intelligence TheVerge inform. The money is coming out of the tech giant’s Digital News Initiative fund, which supports digital journalism in Europe. The PA supplies news stories to media outlets all over the UK and Ireland, and will be working with a startup named Urbs Media to produce 30,000 local stories a month with the help of AI.

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