当区块链遇上人工智能,区块链 频谱感知

当区块链遇上人工智能，他们的结合可以带来更多的新技术，其中最重要的就是区块链频谱感知技术。下面我们就来介绍一下这项技术的三个相关关键词：

分布式账本：分布式账本是区块链技术的基础，它是一种分布式账本技术，可以记录所有参与者之间的交易，并且在其中维护一种共识机制。它可以提供可靠、安全、可追溯的记录，确保数据的安全性，并且可以防止数据被篡改。

智能合约：智能合约是一种可以在区块链上运行的计算机程序，它可以按照预定的规则自动执行合同中规定的交易，而无需任何人为干预。它可以自动执行复杂的交易，可以更有效地实现贸易，并且可以更有效地防止欺诈行为。

频谱感知：频谱感知是一种新兴的技术，它可以使用计算机程序来检测和识别不同频率的信号，从而帮助人们更好地理解和分析信号。它可以用于区块链领域，帮助人们更好地分析和检测区块链网络中的信号，从而更好地管理和控制网络安全。

以上就是区块链频谱感知技术的三个相关关键词：分布式账本、智能合约和频谱感知。它们的结合可以为区块链技术带来更多的发展，更好地解决网络安全等问题，同时也可以更好地实现贸易的效率。

⑴ Blockchain and artificial intelligence: a perfect match

Blockchain and artificial intelligence are currently the two hottest technology trends. 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.

⑵ Discussing technological changes - the evolution of artificial intelligence, the Internet of Things, and blockchain

I have read a lot of reports about blockchain recently and feel that blockchain is very popular. It has many similarities with the popularity of artificial intelligence and the Internet of Things. The following are some personal opinions:

1. The emergence of artificial intelligence, the Internet of Things, and blockchain are all human exploration of the future.

Human beings are a very peculiar group. There will always be a group of people who will find an exit in our era, so that we can feel that society is functioning normally. Because of the explosion of technology, people's desire for innovation is unprecedented. Regardless of the outcome, the starting point of these desires is always good.

On the one hand, the popularity of artificial intelligence is due to the development of these three aspects, which we often call deep learning, big data, and computing power; on the other hand, the Internet has developedAfter decades of development, new things need to emerge to bear the consequences of the development of the Internet, such as big data and some inefficient Internet mechanisms. The Internet has been developing for so many years, and during this period we can also see some new things being invented or mentioned, such as the Internet of Things. However, it gradually faded over time. At the beginning, when the Internet of Things appeared, many people thought that the Internet of Things was the next exit for mankind after the Internet. Later, many problems emerged, such as limitations in data processing capabilities and limitations in sensor intelligence, and the Internet of Things was gradually marginalized. Then came the emergence of solutions to problems in the development of the Internet of Things - artificial intelligence.

On the whole, the development of these technologies has either been truly successful, or it has led to some new problems, and the solutions to these new problems have formed new technologies. This reminds me of what Mr. Wang Qiang of ZhenFund said: It is the questions, not the answers, that change the world.

After so many years of development of human society, there is always a problem that needs to be solved, and that is decentralization. It is worth explaining that the blockchain is not completely decentralized, but only an improvement in efficiency, which also has costs. Many media reports today are misleading in themselves.

2. Who is the next exit between blockchain and the Internet of Things?

The author believes that the Internet of Things is the next exit for mankind. Compared with blockchain, the Internet of Things is more likely to become a new outlet, because the previous wave gave it certain advantages in policy, and compared with the Internet, the Internet of Things is a decentralized network. Here is an explanation of what a decentralized network is. The Internet is a platform-centric network. Communication between people must be concentrated on a platform. This platform is what we often call a trust mechanism. The Internet of Things is a decentralized network. Sensor devices self-organize into a network. This network node is no longer an enterprise or a platform. In other words, the platform distributes and optimizes centralized rights, making each node possible to become the center.

As for the blockchain, the decentralization that its core technology demands is still too urgent. However, in some fields, this kind of decentralization demand is still welcome, such as finance, house leasing and other business needs that are suitable for the p2p model. The author believes that the biggest reason why the next exit is the Internet of Things is that compared to the blockchain, the decentralization of the Internet of Things is softer.

3. Artificial intelligence, the Internet of Things, and blockchain will eventually be applied to life.

This sentence may sound a bit nonsense. However, the premise that technology can be applied to life is that the technology itself can solve a series of problems that exist in life. From an economic point of view, all technologies revolve around two words: efficiency. No matter what people think about artificial intelligence today,How to view intelligence, the Internet of Things, and blockchain, one thing is certain, existence is value.

As for the time dimension, we can feel or see that after more than a year of hype, artificial intelligence is gradually being implemented in the industry. Personally, 2018 should be the first year for artificial intelligence to embrace the industry. On the one hand, technology companies and traditional companies are also actively cooperating. On the other hand, new media related to artificial intelligence are also promoting the implementation of artificial intelligence, such as: New Wisdom.

Needless to say about the Internet of Things, the previous government also favored the Internet of Things in policy formulation and related planning. Moreover, in the past few years, commercial applications of the Internet of Things have been developing well. But, it's not as good as I thought before. I believe that with the cooperation of artificial intelligence, the Internet of Things industry will develop rapidly in the future.

For blockchain, it may take a long time to eliminate the bubble. Today’s blockchain bubble is too serious. In addition to market bubbles, blockchain also has to face very severe challenges. Supervision, these issues will take a long time to resolve. Personally, I think it will take longer for blockchain to be implemented in the industry than artificial intelligence. As for many companies today, it is better to concentrate on doing things than to join in the fun. When supervision is unclear, problems are prone to arise in joining the heat.

⑶ 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 apply blockchain technology to decentralized artificial intelligence training and data collaboration processes to solve issues such as privacy protection and data traceability in the current artificial intelligence field; other researchers are exploring How to use artificial intelligence algorithms to optimize and accelerate the blockchain transaction confirmation and on-chain data verification process, 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.