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, Bitcoin, Ethereum and Cryptocurrency Trading

Just because Grindelwald and Dumbledore had a deadly brawl during their quest to revolutionise magic doesn’t mean two great powers cannot be used in concert to change the world. This could be the worst way to start an important conversation about financial technology, but stick with me, it gets more interesting. We are speaking about the world-altering technology of Artificial Intelligence as the first superpower coupled with the financial system disruptive technology of cryptocurrency — a decentralised payment system that circumvents government manipulation of currency and is forcing us to redefine the concept of money. The question is: Can these two technologies be used together to change the way ordinary people like you and me invest our money — without expiring in a shower of blue sparks? “Avada Kedaura!”

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New optical chip for AI is a thousand times more effective than silicon

Researchers from the Massachusetts Institute of Technology created a processor for in-depth training, working on an optical chip. Such a chip requires a thousand times less energy than traditional CPUs and GPUs, and better cope with some tasks.

“Deep learning” computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical formulas for possible new pharmaceuticals.

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Financial institutions turning to artificial intelligence for data mining, cost savings

BB&T Corp. has a well-earned reputation for being deliberate when it comes to adopting technological advances.

That’s why BB&T executives’ enthusiasm for plugging artificial intelligence and robotics into its back-office, customer service and compliance operations has raised eyebrows with analysts and economists.

BB&T joins Wells Fargo & Co. and other national and super-regional banks in spending hundreds of millions of dollars to pursue what they believe will be significant future cost savings from data mining of customer patterns.

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Better Than Doctors: AI Predicts Heart Attacks

Using data from the medical records of more than 300,000 patients, researchers created an algorithm that can accurately predict 7.6 percent more heart attacks than doctors using standard methods.  Doctors have gotten very good at determining which of their patients are at high risk for a heart attack. But new research suggests that artificial intelligence may be even better — and that widespread use of AI could save many of the lives now lost to heart disease, the leading killer in the U.S.
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Robots Are Winning the Race for American Jobs

Who is winning the race for jobs between robots and humans? Last year, two leading economists described a future in which humans come out ahead. But now they’ve declared a different winner: the robots.

The industry most affected by automation is manufacturing. For every robot per thousand workers, up to six workers lost their jobs and wages fell by as much as three-fourths of a percent, according to a new paper by the economists, Daron Acemoglu of M.I.T. and Pascual Restrepo of Boston University. It appears to be the first study to quantify large, direct, negative effects of robots.

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ARM CPU’s expands the possibilities for artificial intelligence

ARM DYNAMIQ - Key Visual

In the past four years alone, we have witnessed an amazing expansion of compute. Go inside the numbers of the recent 100 billion ARM-based chips milestone and you will see that 50 billion were shipped by our partners from 2013 to 2017, which demonstrates the industry’s insatiable demand for more compute. Even more extraordinary is that we expect our partners to ship the next 100 billion ARM-based chips by 2021.

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