Artificial Intelligence (AI) has long been one of the most sought-after technological developments in the history of the technology sector. The tech is key to a variety of new innovations, and serves as the prerequisite to the creation of autonomous robots, which could drastically change the nature of business in hundreds of different environments. But as artificial intelligence continues to develop, it requires more and more energy and computing power in order to be successful.

This poses an issue for smaller developers of AI tech, who simply don’t have the money to blow on significant amounts of computing power required for the development of complex artificial intelligence machines. The problem isn’t just one for smaller developers, either. The rate of increase for computing power needed for the development of AI doubles around every 3.5 months. This means that even the biggest developers have hit some sort of a wall in AI development, commonly referred to as a bottleneck.

DeepBrain is a cloud computing platform with an emphasis on serving AI clients. The first of its kind, the blockchain-based company has recently announced that they will be rolling out an AI Training Net, a precursor to their eventual goal of producing a truly global cloud computation network for Artificial Intelligence service network.

Companies producing AI technology have been consistently interested in using the blockchain to provide cloud computing services to AI-based companies. Consequently, the production of this testing network is a pretty big deal. The DeepBrain ecosystem relies on the use of DBC tokens, which will be distributed to companies and universities who are working on AI technology. With the Deep Brain Chain Token, these researchers can purchase computing power within the larger DBC network.

Eventually, there is no doubt that the company will go public and commercial with their distribution of the tokens, which could garner significant value from their functional use. Unlike some startup tokens, the primary audience for the DBC token will be researchers who truly do want to use the token for its intended use on the growing ecosystem of the Deep Brain Chain. These tokens will likely increase in value as more consumers express support for the development of AI tech, and more researchers work to facilitate the development of the technology.

The main advantage of this cloud computing network is that it provides optimal neural performance. At its core, the deep neural network structure of the DeepBrain Chain allows the current configuration of most AI algorithms to run at maximum performance.

Additionally, a slew of factors contribute to the low latency of the DeepBrain Chain, which means that user requests on the network are executed as quickly as possible.

Another major asset of this particular network is its ability to protect user privacy through the use of complex encryption algorithms and protocols. This is especially important, as many developers of AI technology work for the government, or other agencies with an innate need for security and protection of privacy.

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