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.
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.)
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.
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.
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.
Continue reading IOTA digital currency surges more 100% after teaming up with firms like Microsoft
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.
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.
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!”
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.