How to better integrate AI and blockchain?

[How to better integrate AI and blockchain? ] Today I will analyze how encrypted distributed ledgers will unlock another frontier “black technology”: artificial intelligence.

In simple terms, AI combines theory with practice to build a machine model that can perform tasks that require high intelligence. Recently, cutting-edge technologies in this field have achieved achievements such as machine learning, artificial neural networks, and deep learning. Blockchain is an emerging system of digital information that stores data in encrypted distributed ledgers. Because multiple computers have copies, the blockchain is a powerful anti-tamper database, and only licensed users can read and update data.

Nowadays, there are already numerous literatures that have made academic and in-depth analysis of the combination of the two technologies, but there are still few applications at the application level. However, I firmly believe that this situation will soon change.

There are three ways to better integrate AI and blockchain.

1

AI+ encryption technology

Thanks to the cryptography technology of its data archiving system, the data in the blockchain can be highly secure, which means that the blockchain is an excellent choice for storing sensitive and private data. After being intelligently processed, the system can bring great value and convenience to our lives. For example, smart medical systems can help doctors make more accurate diagnoses through medical examinations and health record analysis. Amazon and Netflix's recommendation engine can recommend more products for us.

Of course, these data are very personal. In order to ensure the security of the data, the merchants will have to invest a lot of money to meet the safety standards. However, even if this is the case, massive amounts of information will still lead to leakage of personal data. This is not uncommon today, and it is getting more and more intense.

The blockchain database encrypts all information. Only the private key (a string of digits) can be unlocked. This ensures the security of the data.

AI technology also provides many ways to ensure security. One of the new areas of artificial intelligence is to build algorithms that can handle data in an encrypted state. Today's data still needs decryption to deal with it, which greatly increases security risks, but the development of emerging technologies can greatly improve security.

2

Use blockchain to track and understand AI decisions

It is sometimes more important for AI calculations to evaluate a large number of independent variables and to identify which of them. Therefore, it is sometimes difficult for humans to understand the language that AI determines. For example, future AI algorithms may be applied to identify financial transactions for fraud and interception and investigations, but sometimes, humans are still required to review the accuracy of these decisions. However, because the amount of data involved in the decision is too large, it is too difficult for humans. Wal-Mart will now put all the monthly transaction information into the company's artificial intelligence system to determine the store of goods in distribution.

However, if these decisions are stored in the blockchain in the form of data points, the data will not be disconnected from the review process and the inspection process will be much easier.

But no matter how much benefit artificial intelligence can bring, if people do not understand and cause distrust of the results, the practicality of AI will be greatly reduced. Therefore, recording AI decision data on the blockchain will be more straightforward and understandable, which can effectively promote the transparency of AI technology, deepen people's understanding of the machine program, and gain public trust.

3

AI operation blockchain is more efficient

Traditional computer computing is fast but clumsy. Without special assistance, the computer cannot complete the task independently. This means that the cryptographic properties of the blockchain can cause computer computing to consume a lot of energy. The current mining of the hash algorithm is almost done using "brute force" - try all the digital combinations to find the one that the transaction matches.

However, AI calculations can get rid of this primitive method and complete tasks in a more intelligent and advanced way. Like a human cryptographer, after long-term professional experience, it can be decrypted faster and faster. The same is true of the machine's learning mining algorithms - and unlike humans who have devoted their entire life to becoming experts, AI can perform correct data training while completing tasks and refine decoding skills.

It is true that blockchain and artificial intelligence are fully capable of achieving breakthrough achievements in their respective fields. However, if these two major technological trends are merged, they can reinforce each other, supervise each other and be responsible to each other. This potential will be It is revolutionary.