Businesses can as well easily absorb and digest the core benefits offered by the project to make proper decision. Therefore, this post marks the first of many series of Dxchain whitepaper simplified.
What Is Dxchain?
The keywords to note in that definition thus:
- Decentralized BigData
- Machine Learning Network
In a way, Machine Learning works in a similar way to human learning. For example, if a child is shown images with specific objects on them, they can learn to identify and differentiate between them. Machine Learning works in the same way: Through data input and certain commands, the computer is enabled to "learn" to identify certain objects (persons, objects, etc.) and to distinguish between them. For this purpose, the software is supplied with data and trained. For instance, the programmer can tell the system that a particular object is a human being (="human") and another object is not a human being (="no human"). The software receives continuous feedback from the programmer. These feedback signals are used by the algorithm to adapt and optimize the model. With each new data set fed into the system, the model is further optimized so that it can clearly distinguish between "humans" and "non-humans" in the end.
- Computing-Centric Blockchain
A new decentralised computing framework to introduce Probable Data Computing
and verification game.A new chains-on-chain design to orchestrate a master chain and two side chains—Data
Side Chain and Computing Side Chain.Incorporate Hadoop to DxChain Network to facilitate big data and machine learning.
Flexible and powerful DxChain Network-based system architecture basically designed to support most business data exchange and data analytics requirements.
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