Use cases: Part 2

NEUROSEED
NEUROSEED
Published in
2 min readNov 20, 2017

Disclose 3 areas of activity used on Neuroseed platform

Nowadays, the neural network systems gain momentum among all the spheres of our modern life. We are discovering 3 issues of NeuroSeed platform that form parts served in our system. The topics are chatbot, pattern recognition and personal assistant. Let’s start with the first one.

Chatbot

For the last couple of years, artificial intelligence (AI) has made a splash and was widely discussed all over the world. Experiments have already been carried out for a long time, but it was in 2016 that they became widespread both in the ranks of specialists and among ordinary people.

Leading analysts have calculated that in 2017 the art intellect will fill the market and change it.

Everyone knows about chatbots, but they are underestimated. Of course, they cannot yet give an answer to the most unexpected question. However, they will help in payment, delivery and the status of the order directions. Therefore, their use can create many advantages for many companies.

Trained dialogue systems have recently acquired unexpected popularity. Everything is done within the framework of neural network dialog thatdevelops the world of IT and biology. In general, chatbots are useful as they can consult on an issue of any topics that are not connected with the main task in a number of other tasks.

Pattern recognition

After the neural network is trained in several reference patterns, we want to give it an input vector, and ask to recognize it. Thus, we can expect several outcomes. Ideally, the network recognizes the pattern and output a reference vector corresponding to the distorted one.

Another variant of the development is the following: there are similar images in the memory of the network, and the incoming distorted one is similar to both of them, so the network can fall into an endless cycle. So, if the image is not recognized at some given number of iterations, the cycle stops, recognition is considered as unsuccessful and the network displays a free “improvisation” of this work.

Personal assistant

The existence of a personal assistant that recognizes requests formulated in human language is a progressive trend in the field of neural networks. With its help you can find out about the weather, the nearby restaurant or cafe, and assisted selecting tickets for the next cinema show.

This function is perfectly combined with the duties and desires of the programmer, as it allows him to distract from work during difficult situations, leading to solving complex problems.

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