区块链技术和人工智能的结合是什么,区块链技术和人工智能的结合体现在

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❶ Can blockchain + artificial intelligence + big data technology build a three-body civilization?

Can blockchain + artificial intelligence + big data technology build a three-body civilization?

After the integration of blockchain + artificial intelligence + big data technology, a "Three-Body Man" thinking can be formed - blockchain solves the problem of trustworthiness and non-tampering. For example, Bitcoin, artificial intelligence and big data solve creativity; such as AlphaGo.

We learn and recognize through artificial intelligence, then analyze and process big data, and finally form experience and memory through blockchain. Experience and memory are like the genes of an individual or an organization. They cannot be tampered with, are true, reliable, and highly confidential. They are easy to form a consensus. In this way, the efficiency of communication and collaboration is greatly improved, and creativity will stimulate each other, greatly promoting the leap-forward development of society. development, the Trisolaran civilization is also coming.

For example, user Z accidentally ran a red light while driving, and the camera captured it and sent it to the transportation bureau’s blockchain system.

Using functions such as artificial intelligence license plate recognition and big data correlation analysis, Z traffic violations are found and notified. After Z’s blockchain receives the illegal information, it uses artificial intelligence to identify the illegal photos or videos that are indeed his. I, and it is my own car, confirmed the illegal record, and Z sent the electronic currency fine to the blockchain financial account designated by the Transportation Bureau. The Transportation Bureau changed the illegal status after receiving the fine.

When Z passes this traffic intersection again, Z’s blockchain account will remind him not to run the red light. If Z still runs the red light, after following the above process, the traffic blockchain system will consider Z to be a traffic risk group, and will dispatch cameras to pay extra attention to him, predict his behavior, and remind him not to run the red light or use the big screen on the roadside to remind him not to run the red light or Inform his family to educate him.

3. Conclusion

In short, the new blockchain architecture truly achieves data life and data democracy. Data will become part of each user’s genes. Let the data speak, and the new blockchain The architecture will bring an era of intelligent collaboration to society, and blockchain data will guide us to live and work more efficiently and actively.

❷ Internet of Things, blockchain and artificial intelligence applications are interconnected

The connection between business and technology is very close, and the business economy will be affected whenever technology develops. Three emerging technologies are an important part of the business world: the Internet of Things, blockchain and artificial intelligence. Whenever a new technology is launched companies start to reveal its potential to improve existing business models.

Cutting-edge technologies such as blockchain may provide technical support for solving the pain points of copyright disputes and help the high-quality development of the copyright industry. At present, the main resistance encountered in the development, management and commercial realization of copyright is that it is difficult to determine copyright ownership. "Transportation" and plagiarism are common phenomena. The realization mechanism of copyright operation still needs to be further improved.

In the digital age, the widespread application of electronic seals is of great significance to improving government and enterprise operations.Business efficiency plays an important role, but electronic seals also face problems such as data tampering and difficulty in mutual recognition of information. Blockchain technology has become a solution, and a large number of "blockchain + seal" platform applications have emerged.

Smart contract technology represented by blockchain can effectively promote collaboration among all parties in the industry chain. Participants such as copyright content parties, secondary creators, merchants (authorized parties), and service providers who communicate and trade point-to-point in the industry chain can instantly complete in-depth cooperation through the smart contract technology of the blockchain.

Copyrighted content parties can also use NFT and other related blockchain technologies to convert creators’ digital content into digital goods faster. Blockchain technology decentralizes databases so that everyone can access the data, which can help them recall information without spending a lot of time and effort.

Artificial intelligence, blockchain and the Internet of Things are three technologies that are changing the world. They are proven to offer better opportunities in core business and building capabilities.

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❸ What is the relationship between blockchain and artificial intelligence

Zuzu’s answer Blockchain and artificial intelligence have many potential correlations and interactions. They can promote each other, make up for shortcomings, and 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 apply blockchain technology to the decentralized artificial intelligence training and data collaboration process to solve issues such as privacy protection and data traceability in the current artificial intelligence field; andSome researchers are exploring how to use artificial intelligence algorithms to optimize and accelerate the blockchain transaction confirmation and on-chain data verification processes, and further improve 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.

❹ Blockchain and artificial intelligence: a perfect match

01

Blockchain and artificial intelligence are two of the hottest technologies at the moment trend. 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 toGet rid of this dilemma and handle tasks in a smarter and more 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. While blockchain technology is a ledger for cryptocurrencies, 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.

SameThe 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 decentralized data markets, they will be able to access data that would otherwise be too expensive and kept privately.

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.