Quadrant Helps to Create Competition in the Market of Artificial Intelligence

in #cryptocurrency6 years ago

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Quadrant is a system for a fair and transparent exchange of big data. Big data is used in machine learning, artificial intelligence algorithms development and other tasks.

Is a huge amount of diverse data in the world. But they are not systematized, are stored in different places and often are fragmented. To fully use this data, you have to be able to store and process it. This approach requires the allocation of a large number of resources, which can only be done by information giants such as Google and Facebook. Lesser companies have to buy data from third parties.

And here are the problems, the basis of which is unfair payment for the data. Companies collecting them receive payment only once - when they sell data to intermediaries. The further fate of the information does not concern them, they do not bear responsibility for it. Intermediaries can sell the data several times, making a profit for each transaction. To get more revenue, they can change or falsify the data.

For end users, it is not possible to pre-verify the acquired data, at least for the source and integrity of the data. But for them it is critical to have quality and real information. This is due to the algorithms of machine learning and artificial intelligence. In this area, it is impossible to get a good result on the basis of bad data.

To eliminate all these shortcomings and allow small companies working with AI to compete with information giants, the Quadrant Protocol is created.

The basis of the network is the principle of marking the data. The system uses two blockchains:

  • internal - Quad Chain - for data placement;
  • External - currently Ethereum - to store the markings (data hashes).

Data producers, when placing data in the Quad Chain for sale, generate their hash and write it to the Ethereum chain. The buyer, after receiving the data, can hash them and compare the result with the original. If hashes match, the data is authentic and the source is known. If a discrepancy is detected, then the "product" has been changed and the seller needs to clarify the situation. This approach ensures transparency and actually captures authorship of producers on a specific data set. That, on the one hand, guarantees payment for each use of this set, and on the other hand introduces responsibility for its quality.

Data buyers are guaranteed to receive real data without falsification and knowledge of the source of their occurrence. This has a positive effect on their development.

The network uses smart-contracts that automate all calculations and record any movement of data.

Network participants, called the Pioneers, can create new sets or data products from those that they bought from the Manufacturers. Subsequently, these new products are bought by data consumers or companies that use them in their research work (Elons).

The Quadrant network will use two types of tokens:

  • QUAD - a utility token for payments within the network and payment of fees to the platform;
  • eQuad is a token generated for public sale, it can be exchanged for QUAD afterwards.

Despite the fact that an ordinary person does not understand how such systems work, large investors have long been familiar with this type of technology, so Quadrant Protocol developers successfully raised funds, public sale of tokens will be available on June 26, leaving only $5,000,000 out of $20 000 000 to raise. Follow the updates on the project's social resources through the links below.

~ WEBSITE ~ TELEGRAM ~ ANN THREAD ~ BOUNTY THREAD
~ WHITEPAPER ~ TWITTER ~ FACEBOOK ~ REDDIT

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Let's see if this coin can bear the pressure of competition and set the standard for other coins to improve.

I think yes, I like when a token gives rise to a lot of HYIP, ICO like this show us how to do business

It is also about the marketing team, like if you see Sky coin. Too much positive hype and last week too much negative hype and price was down to 38%. Deep Brain Chain is also the one with a good hype of Artificial Intelligence.

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