Neural networks are widely used to solve real business problems. In fact, they are already successfully applied in many industries. Because neural networks are best at identifying some principles or trends in data, they are well suited for forecasting needs, including: sales forecasting, manufacturing process management, customer research, data validation, risk management, targeted marketing.
Application fields of neural networks
AI are also used in the following specific fields: recognition of speakers during communication; diagnostics of hepatitis; restoration of communication with faulty software; interpretation of polysemous Chinese words; detection of underwater mines; texture analysis; recognition of three-dimensional objects; recognition of handwritten words; and face recognition.
The neural network evaluates price data and identifies opportunities for making trading decisions based on data analysis. Networks can distinguish between subtle nonlinear interdependencies and principles that are not available to other methods of technical analysis. According to research, the accuracy of neural networks in predicting stock prices varies. Some models predict correct stock prices from 50 to 60 percent, while others are accurate 70 percent in all cases.
There will always be datasets and problem classes that can be better analyzed using previously developed algorithms. It is not so much the algorithm that is important, but precisely the well-prepared input data for the target, which ultimately determine the level of success for the neural network.
The launch of the SYPWAI platform is a new step in training neural networks
TheNeurosphere has successfully launched its innovative SYPWAI platform, but so far only for non-public purposes.
At the beginning of March 2019, TheNeurosphere began testing its new SYPWAI platform, which will be able to deal with decentralized training of neural networks. According to the developers, soon anyone will be able to join the number of those who can plunge into the science in the field of artificial intelligence. The platform will unite people, scientists and amateurs from anywhere in the world to achieve a common goal – the development of artificial intelligence.
TheNeurosphere also received a $ 90 million grant from the LifeASAPA international scientific organization.
According to Abdigani Diriye, general manager of SYPWAI, the company has been testing the new product non-publicly for several months: “TheNeurosphere has always positioned itself as an expert in computer-aided learning for commercial use of neural networks. We launched this platform in order to deeply integrate artificial intelligence into the everyday life of people”.
The new platform allows you to perform simple tasks for training a neural network and receive a monetary reward for this, while the assets are stored in a “cold wallet” and are insured. At first, BTC and ETH pairs with the US dollar will be available to clients, but support for ten most popular cryptocurrencies will be added soon.
The SYPWAI platform promises complete anonymity to its clients, if the client does not want to share his achievements. That is, market makers and other third-party companies will not be able to obtain customer data. In this case, platform clients will have to go through identification procedures.
We hope that the SYPWAI platform will open access to everyone who wants to join science as soon as possible.
