Introduction to Deep Brain Chain DBC Part 1

AI on blockchain. The vision of DBC.

 

The first stage in computer development was using computers for storage of data and complex mathematical operations. The second stage was connecting computers into one network. The third stage has been the development of the Internet and fast accumulation of data. The problem with the data is that it often accumulates faster than people and businesses are able to process and use it. This is where artificial intelligence comes to help. Artificial intelligence can use data sets that are too large or complex for individuals and for traditional software to make decisions and predictions that were not possible before.

Since 1965, the development of the technology industry has been following Moore’s law. Gordon Moore co-founded Intel and noticed that year that the number of transistors per given area on a circuit board has been doubling annually since the invention of the transistor technology. The law has predicted that the trend will continue in the foreseeable future. It has also led to the development of mobile devices such as tablets and smartphones because the creation of small devices was only possible because of the existence of small transistors. In modern devices, a transistor can be smaller than molecules of viruses.

In practical terms, the explosive growth of data, data storage equipment, the Internet of things and other technology-related fields in the past several decades has led to the exponential increase of companies working on projects related to artificial intelligence. According to the DeepBrainChain white paper, between 2012 and 2014, there have been over 5,000 new artificial intelligence startups and the funding for these startups has surpassed USD$20 billion.

Many large companies, such as Google and Amazon, have created teams that work on artificial intelligence. Many of the home assistants, such as Google Home and Amazon Alexa, extensively use artificial intelligence. Here is an official video from Google that shows some of the breakthroughs Google was able to accomplish by combining its research in the fields of speech recognition, text recognition and artificial intelligence: https://www.youtube.com/watch?v=bd1mEm2Fy08

For example, when you give Google Duplex, a voice task to set an appointment for you, the software can call a business on its own, talk to a person on the phone, find out when appointments are available, and then mark your calendar with an appointment.

 

The vision for DeepBrainChain

DeepBrainChain wants to become a blockchain-powered platform for calculations and storage of information related to artificial intelligence. One of the reasons for the introduction of DeepBrainChain is that many businesses all around the world could benefit significantly from artificial intelligence, yet they simply do not have enough resources to do so, from investing in software to investing in expensive hardware required to run projects related to artificial intelligence such as expensive GPU servers. On the other hand, many companies have expensive hardware that could be extremely useful for artificial intelligence calculations and software, yet this hardware is sitting unused for a large percentage of the time.

DeepBrainChain plans to schedule computational and storage-related artificial intelligence resources on the blockchain via smart contracts creating a platform that is low-cost and secure.

As a platform, DeepBrainChain will serve the interests of all the parties involved in the projects related to artificial intelligence. These parties are miners and companies using the platform.  Miners will be getting paid for executing code. Artificial intelligence startups and companies will have access to computational resources at a fraction of the cost compared to their current costs.

The main principles of the DeepBrainChain project are extension, stretching, and privacy. Extension means that it should be easy to add new modules to the network and if one of the modules is going through updates or is busy with computations, it should not affect other nodes on the network. Stretching means that access to the DeepBrainChain computational power needs to be very flexible and if there is a large number of user requests, the network should quickly expand in a horizontal manner.

Finally, privacy means that all members of the DeepBrainChain platform and ecosystems, including miners and companies using the platform, should choose the level of privacy they desire and get this level of privacy.