人工智能应用到区块链上,人工智能应用到区块链中

近年来，随着人工智能技术的发展，越来越多的应用被引入到区块链技术中，为区块链技术的发展带来了新的可能性。本文将介绍人工智能在区块链中的三个关键词：区块链智能合约、数据挖掘和机器学习。

区块链智能合约是一种基于区块链技术的自动执行程序，它可以自动完成智能合约的编写、执行和维护，从而实现智能合约的自动执行。它可以提供更高效、安全、可信的交易服务，并可以自动执行复杂的业务流程，从而改善传统的交易流程。此外，智能合约还可以利用人工智能技术，比如机器学习、自然语言处理、深度学习等，来提高智能合约的功能，从而更好地实现智能合约的自动执行。

数据挖掘是一种利用人工智能技术从大量数据中提取有价值信息的方法。在区块链中，数据挖掘可以帮助改进和优化区块链系统的性能，并且可以提高区块链系统的安全性和可靠性。此外，数据挖掘还可以帮助探索和发现新的区块链应用，从而为区块链技术的发展带来新的可能性。

机器学习是一种基于人工智能的技术，它可以帮助计算机自动学习和改进，从而实现自动化的任务完成。在区块链中，机器学习可以帮助优化区块链系统的性能，改善区块链系统的安全性和可靠性，并且可以帮助发现新的应用场景。此外，机器学习还可以帮助改进智能合约的功能，从而更好地实现智能合约的自动执行。

总之，人工智能技术在区块链中的应用可以提高区块链系统的性能和安全性，并且可以推动区块链技术的发展。本文介绍了三个关键词：区块链智能合约、数据挖掘和机器学习，它们都可以帮助改进区块链系统的性能和安全性，同时也可以推动区块链技术的发展。

Ⅰ Blockchain and artificial intelligence: a perfect match

Blockchain and artificial intelligence are the two hottest technology trends at present. Although the two technologies have highly different developers and applications, researchers have been discussing and exploring their combination.

PwC predicts that artificial intelligence will add $15.7 trillion to the world economy by 2030, so global GDP will grow by 14%. According to Gartner's forecast, the business value brought by blockchain technology will increase to US$3.1 trillion in the same year.

By definition, a blockchain is a distributed, decentralized, immutable ledger used to store encrypted data. Artificial intelligence, on the other hand, is the engine or “brain” that enables analysis and decision-making from collected data.

It goes without saying that each technology has its own level of complexity, but both artificial intelligence and blockchain are in a position where they can benefit and help each other.

Since both technologies can influence and act on data in different ways, their combination makes sense and can take data utilization to the next level. At the same time, integrating machine learning and artificial intelligence into blockchain, and vice versa, can enhance the infrastructure of blockchain and enhance the potential of artificial intelligence.

In addition, blockchain can make artificial intelligence more coherent and understandable, and we can track and determine why decisions are made in machine learning. Blockchain and its ledger can record all the data and variables used to make decisions under machine learning.

In addition, artificial intelligence can improve the efficiency of blockchain better than humans. As evidenced by a look at the way blockchain is currently run on standard computers, even basic tasks require significant amounts of processing power.

Intelligent computing power

If you want to run a blockchain and all its encrypted data on a computer, you need a lot of processing power. For example, the hashing algorithm used to mine Bitcoin takes a "brute force" approach, which is to systematically enumerate all possible candidates for a solution and check whether each candidate satisfies the problem statement before validating a transaction.

Artificial intelligence provides us with an opportunity to get out of this dilemma and handle tasks in a more intelligent and efficient way. Imagine a machine learning-based algorithm that, if given the proper training data, can actually improve its skills "in real time."

Create diverse data sets

Unlike artificial intelligence-based projects, blockchain technology creates a decentralized, transparent network where anyone around the world can Access these networks in a public network environment. Although the areaBlockchain technology is a ledger for cryptocurrencies, but blockchain networks are now being used in many industries to enable decentralization. For example, Singuarlitiynet is specifically focused on using blockchain technology to encourage wider distribution of data and algorithms, helping to ensure the future development of artificial intelligence and the creation of “decentralized artificial intelligence.”

SingularityNET combines blockchain and artificial intelligence to create a smarter, decentralized artificial intelligence blockchain network that can host different data sets. By creating an application programming interface on the blockchain, it will allow AI agents to communicate with each other. Therefore, different algorithms can be built on different data sets.

Data Protection

The development of artificial intelligence depends entirely on the input of data - our data. Artificial intelligence receives information about the world and what is happening in the world through data. Basically, data is the source of AI, and through it, AI will be able to continuously improve itself.

Blockchain, on the other hand, is essentially a technology that allows data to be stored encrypted on a distributed ledger. It allows the creation of fully secure databases that can be viewed by approved parties. When blockchain and artificial intelligence are combined, we have a backup system for backing up an individual’s sensitive and high-value personal data.

Medical or financial data is too sensitive to be handed over to a company and its algorithms. This data is stored on a blockchain that can be accessed by artificial intelligence, but only with permission and through appropriate procedures, to provide us with personalized recommendations while safely storing sensitive data.

Data Monetization

Another disruptive innovation that may come from combining these two technologies is data monetization. For big companies like Facebook and Google, monetizing the data they collect is a huge revenue stream.

Letting others decide how data is sold to generate profits for businesses shows that data is being commercialized, and to our detriment. Blockchain allows us to cryptographically protect our data and use it however we see fit. This also allows us to personally monetize the data if we choose, without compromising our personal information.

The same goes for artificial intelligence programs that need our data. In order to learn and develop AI algorithms, AI networks will be required to purchase data directly from their creators through data marketplaces. This would make the entire process fairer than it is now, and no tech giants can take advantage of its users.

Such a data market will also be open to small companies. Developing and delivering AI is prohibitively expensive for companies that don't generate their own data. Through a decentralized data marketplace, they will be able to access otherExpensive and privately kept data.

Trusting AI Decisions

As AI algorithms become smarter through learning, it will become increasingly difficult for data scientists to understand how these programs arrive at specific conclusions and decisions. This is because AI algorithms will be able to process incredibly large amounts of data and variables. However, we must continue to review the conclusions drawn by AI because we want to ensure they still reflect reality.

By using blockchain technology, all data, variables and processes used by artificial intelligence in decision-making have an immutable record. This makes the entire process of auditing much easier.

Through appropriate blockchain procedures, all steps from data input to conclusion can be observed, and the observing party will ensure that the data has not been tampered with. It allows people to trust the conclusions drawn by artificial intelligence. This is a necessary step because individuals and companies won’t start using AI applications if they don’t understand their capabilities and the information underlying their decisions.

The combination of blockchain technology and artificial intelligence remains a largely undiscovered area. Although the fusion of these two technologies has received considerable academic attention, there are still few projects dedicated to this groundbreaking combination.

Combining these two technologies has the potential to use data in ways never before possible. Data is a key element in developing and enhancing AI algorithms, and blockchain protects this data, allowing us to audit all the intermediate steps by which AI draws conclusions from the data, and allows individuals to monetize the data it generates.

Artificial intelligence can be incredibly revolutionary, but it must be designed with extreme care—and blockchain can help a lot with that. How the interplay between these two technologies will develop is anyone’s guess, however, its true potential for disruption is clearly present and developing rapidly.

II What is the relationship between blockchain and artificial intelligence

Blockchain and artificial intelligence have many potential correlations and interactions. They can promote each other and make up for defects, thus Make progress together.

On the one hand, at the application level, artificial intelligence technology Liang Suichen can provide the blockchain platform with more complete data processing and analysis capabilities. For example, artificial intelligence technology can help blockchain platforms conduct large-scale data mining and analysis, discover hidden correlation patterns and trends, and improve data processing efficiency and security. At the same time, blockchain technology can also provide a more accurate, real-time, and credible data source for artificial intelligence algorithms by establishing a decentralized, non-tamperable data storage and transmission mechanism, further improving its decision-making and prediction capabilities.

On the other hand, at the technical research level, blockchain technology and artificial intelligence technology also have the possibility of integrating with each other and accelerating development. For example, some researchers refer to blockchain technology asIt should be used in the decentralized artificial intelligence training and data collaboration process to solve the problems of privacy protection, data traceability and other issues in the current artificial intelligence field; some researchers are exploring how to use artificial intelligence algorithms to optimize and accelerate The blockchain transaction confirmation and on-chain data verification process further improves the development efficiency and security of blockchain technology.

In short, in the field of cross-application of blockchain and artificial intelligence, they can promote and support each other, and produce more complex and diversified technological innovation combinations, which can contribute to the development of the digital economy and enterprises. Have a positive impact.

Ⅲ How to combine artificial intelligence and blockchain

The impact of black technology AI in recent years can be described as one after another. Wave after wave, from Deep Blue to AlphaGo, all have made people marvel at the exquisiteness of technology and the powerful learning ability of AI.

So how will AI combined with blockchain be combined, and what kind of breakthroughs and innovations will it bring?

Let’s first look at the evolution of blockchain. From blockchain 1.0 marked by BTC to blockchain 2.0 marked by Ethereum that combines "smart contracts", to blockchain 3.0 marked by EOS, which is more scalable.

As far as BTC is concerned, its function is single. For users, it is nothing more than mining and transfer. So there is an upgraded version of ETH.

ETH provides a development platform for users to write smart contract publishing applications, but its performance is insufficient and the handling fee is expensive. This is when BM launched EOS.

One of the main reasons why EOS quickly gained everyone's attention is that it is more scalable than Ethereum. It is stable and secure, but it is not as decentralized as ETH due to the high power of super nodes. That is to say, it has compromised on the degree of decentralization in order to achieve fast enough data processing. That's when Velas appeared.

Based on the characteristics of EOS, Velas uses AI to enhance decentralization. By introducing AI (artificial intelligence) into blockchain technology, it solves the drawbacks caused by human rule and automatically adjusts through AI. The system produces the best results without affecting the system's processing standards, reducing consensus costs.

“AI is technological innovation, blockchain is institutional innovation”