SYPWAI – An Opportunity for Everyone to Join Science

Sypwai conference

The SYPWAI project will be able to revolutionize all scientific concepts of artificial intelligence and neural networks.

The SYPWAI platform connects businesses that need monitoring using neural networks with those who perform such work.

The neural network development involves a large number of highly qualified single-discipline experts and the development of a data platform for their training, which is not only time-consuming but also costly.

The main algorithms of the system operation

There is a large amount of data to be evaluated and studied with every new order placed by businesses, such as the company’s problems or tasks, the goals, the resources that this company owns, the scientific research on the topic, and people’s answers to certain questions that can help the company.

This data is encrypted using the XOR algorithm, and data transfer between servers and devices is performed with the help of the Public Key Encryption technology, so that hackers do not get access to intermediate data.

All data is mixed in order to send data to completely different places, and to be as decentralized and independent as possible. The data is divided into small blocks so that the small devices with low capacity can learn. All devices receive a block of data every hour and the algorithm using which the device will learn, small devices receive 1 block, and a large device or cluster receives an array of blocks in accordance with its capacity.

Within an hour, the devices train their neural network using this data. After that, they send the final model of their neural network to the company’s servers.

How much money can a neural network markup bring to the student?

On average, you can earn $5 an hour. It is $ 300-400 a month. The important thing is that a wide range of people can do the markup.

People get their reward in the form of cryptocurrency. A person can easily transfer cryptocurrency to a bank card or other payment system. What is interesting about the payment in cryptocurrency: if you do not want to take risks, you can withdraw money immediately at a fixed rate, in dollars. If you earned a few dollars in an hour and immediately transferred them, there are no restrictions. And if the platform develops correctly, then the value of its token grows and it is possible to leave part or all of the earned cryptocurrency hoping that in a month $5 will turn into $7. But no one can guarantee this; it all depends on the person.

Machine learning strategies in ANN

Artificial neural networks can learn, but they need to be trained. There are many learning strategies, namely:

  • Training with a teacher: a scientist takes part in it. For example, during a sermon, a scientist gives examples for a better understanding of moral philosophy. In the same way, ANN implements pattern recognition when it starts guessing, recognizing. Then the trained data templates provide the ANN with answers.
  • Unsupervised training: it comes down to action when there is no dataset with known answers. One such example is finding a hidden pattern. The clustering concept involves dividing elements into group sets based on unknown patterns that are implemented using existing data sets.
  • Reinforcement training: this is an observation-based strategy. ANN makes a decision taking into account its environment. If the observations are negative, the network will adjust its data to make a different decision next time.

In a highly competitive world, we can gain a lot from neural networks. Their ability to learn makes them strong and flexible. Moreover, there is no need to develop any algorithm to perform a specific task, no internal mechanisms of this task are needed. They are good for real-time systems as they respond quickly with better computation times due to their parallel architecture.

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