Transhumanism: AI could figure out how to make humans live forever

During a panel discussion on transhumanism at this year’s MWC, one expert predicted AI could figure out how to make a human live forever.

‘If You’re Under 50, You’ll Live Forever: Hello Transhumanism’ was the name of the session and featured Alex Rodriguez Vitello of the World Economic Forum and Stephen Dunne of Telefonica-owned innovation facility Alpha.

Transhumanism is the idea that humans can evolve beyond their current physical and mental limitations using technological advancements. In some ways, this is already happening.

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Oxford Insights Publish Government Artificial Intelligence Readiness Index 2019

Oxford Insights prepare and published Government Artificial Intelligence Readiness Index 2019 where author analyzed word prepare to AI in different countries.

Artificial intelligence (AI) technologies are forecast to add US$15 trillion to the global economy by 2030. According to the findings of our Index and as might be expected, the governments of countries in the Global North are better placed to take advantage of these gains than those in the Global South. There is a risk, therefore, that countries in the Global South could be left behind by the so-called fourth industrial revolution. Not only will they not reap the potential benefits of AI, but there is also the danger that unequal implementation widens global inequalities.

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CRYPTOCURRENCY, ARTIFICIAL INTELLIGENCE AND BASIC INCOME

The world financial system entered a new phase of innovation transformation using new information technologies with the development of cryptocurrencies. The new digital decentralized system was created during 9 years in the form of a mining, support and maintenance infrastructure with calculations, bidding, placement and creation of new projects. The new innovative system of modernity was created together with cryptocurrency and other technologies, such as artificial intelligence (AI), that will have a decisive influence on the development of the global financial system in the postindustrial and informational economies of the world. Rapid expansion of automation with AI development posed a problem of determining the size and payment of basic income for the population, which will be deprived in the coming years of a large number of workplaces. The combination of the flow of all these processes and their consideration as a single system is relevant to the study, which will allow for the development of common strategies for their evaluation.

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Embracing the power of AI: The process behind starting an AI project

You want to start an AI project – but what processes do you need to bear in mind, how do you manage the data, and what do you need to look at when it comes to team composition and testing? In this extract from Embracing the Power of AI, Javier Minhondo, Juan José López Murphy, Haldo Spontón, Martín Migoya, and Guibert Englebienne outline how to get through these crucial initial stages.

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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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