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 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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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.
Continue reading CRYPTOCURRENCY, ARTIFICIAL INTELLIGENCE AND BASIC INCOME
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.)
Continue reading The development of artificial intelligence is hampered by programmers who hide their code
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.
Continue reading Artificial Intelligence Religion Results of the Year 2017
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.
Continue reading AIcoin – One of The First Artificial Intelligence Cryptocurrency, Blockchain, Trading and ICO attempt
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.
Continue reading Google’s AI can create better machine-learning code than the researchers who made it