长沙县人工智能区块链张平文

1. How to view the craze and bubbles of artificial intelligence and blockchain

The rise of every emerging technology is accompanied by so-called bubbles. When the technology matures, it reflects the In the future, this statement will disappear from history. Looking back, you will regret it (pay attention to the introduction to learn blockchain)

2. How to view the future development trend of python

For programmers, understanding the development trends of programming languages ​​is helpful for personal career growth; and for newcomers who want to enter the IT industry, the biggest doubts mostly come from not knowing which programming language to choose with better development prospects!

With the development of cloud computing, artificial intelligence, etc., the Python language has experienced explosive growth in recent years, and the attention of the Python language has increased tenfold. Python applications are everywhere in cloud computing, big data analysis, artificial intelligence, Internet of Things and other fields. Network, Alibaba, Tencent, NetEase, Sina, Sohu and other companies are using Python technology on a large scale.

Companies are in urgent need of Python talents, but there are not many talents who master Python technology, causing various companies to be in urgent need of Python developers. Therefore, the future development prospects of Python are quite good; since its release in 1991, the popularity of Python has greatly increased. It is now one of the most popular programming languages ​​in the world, overcoming criticisms that it is too slow or cannot scale. Although many open source projects or languages ​​are ups and downs, Python has been growing and its ranking continues to improve.

3. What is data annotation | "Artificial Intelligence + Blockchain" Popular Science Question 5

When the previous question talked about deep learning, We mentioned a very key term: data annotation.

To explain clearly what data annotation is, we have to mention the special group of "data annotators". The term "artificial intelligence" seems unfathomable, but the current big data collection work provided for machine learning is still based on the labor-intensive artificial intelligence data annotation industry. The content of those people who sit in front of computers and are called "workers behind artificial intelligence" every day is actually not fundamentally different from many assembly line workers in the 1980s.

This is a fact and there is no need to argue.

According to incomplete statistics, the number of "data annotators" employed nationwide has reached 100,000, and the number of part-time workers is close to 1 million.

Behind the scorching and shining artificial intelligence, the data annotation industry, as a basic support, seems particularly rough and unsophisticated. No wonder some people say: The so-called artificial intelligence means that there is as much intelligence as there are artificial people.

So what exactly is data annotation?

To understand data annotation, you must first understand that artificial intelligence actually partially replaces human cognitive functions. Think back to how humans learn. For example, when we were young and we knew apples, our mother came to you with an apple and told you that it was an apple. When you meet an apple again in the future, you will know: Oh, this big, red, sour and sweet thing is called "apple".

By analogy with machine learning, we have to teach the machine to recognize an apple, but of course it cannot taste it. We can only give it a picture of an apple, and of course the machine can’t understand what it is! We must first have a picture of an apple with the word "apple" labeled on it and then give it to the machine to learn. Although the machine has fast processing speed and good memory, its IQ is almost zero in terms of association, analogy and inferences. The machine has learned the apple in picture A, but if you take another apple picture B that the machine has never learned before, it may not recognize it. Because we say that there are no two identical leaves in the world, then naturally there are no two identical apples. then what should we do? We learn a large number of different apple pictures for the machine and let the machine capture the features in these same annotations. At this time, if we give the machine a picture of an unfamiliar apple, it may be able to recognize it.

Suppose we have 1,000 pictures labeled "Apple", then we can take 900 pictures as the training set and 100 pictures as the test set. The machine learns a model by capturing the features in 900 apple pictures, and then we identify the remaining 100 pictures that the machine has not seen. Then we can test the machine's recognition through the learning of the previous 900 pictures. How accurate is Apple?

In short, data annotation is when humans use computers and other tools to classify, frame, annotate, mark, and label various types of data including text, pictures, voices, videos, etc. Properties of labels work.

peopleArtificial intelligence is fed by big data, and data annotation is a very important part of forming valuable massive data. How to efficiently motivate and organize more people to participate in data contribution will be the key to the success of future technology companies.

Next issue: What is a knowledge graph? | "Artificial Intelligence + Blockchain" Popular Science Question 6

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

I read it recently There are many reports about blockchain, and I feel that the popularity of blockchain 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 is always 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 been developing for decades and requires new technologies. Things emerge to take over 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.

Overall, 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 export, because the previous wave gave it certain advantages in policy, and the Internet of Things is a diluted technology compared to the Internet.Heart 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 how people view artificial intelligence, the Internet of Things, and blockchain today, 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.

5. The relationship between artificial intelligence and blockchain

What artificial intelligence and blockchain have in common
Blockchain focuses on maintaining accurate records, certification and execution, while AI facilitates decision-making, evaluation and understanding of certain patterns and data sets, ultimately resulting in autonomous interactions. ArtificialIntelligence and blockchain share several features that will ensure seamless interactions in the near future. Three main features are listed below.
1. Artificial intelligence and blockchain require data sharing
Distributed databases emphasize the importance of sharing data among multiple clients on a specific network. Likewise, artificial intelligence relies on big data, especially data sharing. The more open data available for analysis, the more accurate the machine’s predictions and assessments will be, and the more reliable the algorithms generated will be.
2. Security
When dealing with high-value transactions on a blockchain network, this places great demands on the security of the network. This can be implemented through existing protocols. For artificial intelligence, machine autonomy also requires high levels of safety to reduce the likelihood of catastrophic events.
3. Trust is a must
There is no greater threat to the advancement of any widely accepted technology than a lack of trust, and artificial intelligence and blockchain are not excluded. In order to make communication between machines more convenient, there needs to be an expected level of trust. To perform certain transactions on a blockchain network, trust is a necessary condition.
The impact of blockchain and artificial intelligence on ordinary people
Simply put, blockchain is a community-based technology that can make value exchange safer. Blockchain is like its Same name. It is an ever-extending chain of many data blocks connected together. Each block contains an encrypted transaction record. The blocks are arranged in chronological order and protected by a cryptographic system. Blockchain is a technology that can change the rules, and its emergence is a revolutionary innovation.
Blockchain also has many functions, and its specific applications are also very wide. For example: if blockchain is used in the food industry, people will no longer worry about eating harmful food. If blockchain is used in diamond production, consumers no longer have to worry about buying fake diamonds. If blockchain is used in the education industry, intellectual property protection can be strengthened. If blockchain is used in the insurance industry, it can alleviate information asymmetry in the insurance business and help improve the security of the insurance business, etc.
Blockchain and artificial intelligence have a huge impact on ordinary people. Just imagine, if blockchain and artificial intelligence are combined, will their role be expanded? Yes, the combination of the two can indeed have more impact to change the lives of ordinary people.
Blockchain and artificial intelligence are two extremely important roles in the technology field, each bringing convenience to our production and life. If we find a smart way to make them work together, the impact of their interaction is unimaginable. This is also the core of OMT. After the two technologies are combined, future application scenarios will be revolutionary and exciting. In the new ecological construction, data storage, sharing mechanisms, platform issues, security issues, etc. can all be Leverage each other's technologies to overcome difficulties. OMT will use blockchain + artificial intelligence technology to provide global users and enterprises withCreate maximum value and bring more convenience to ordinary people.
The answer is complete and I hope you will accept it, thank you!

6. Can spaceships use artificial intelligence and blockchain to respond to crises independently?

This Such technology will be crucial to space exploration in the coming decades. As NASA is planning a mission to explore Centauri and beyond as early as 2069, unmanned spacecraft that can think about and respond to their surroundings autonomously will help ensure that humans can collect information in deep space far away from the earth. ability. Space presents many unexpected challenges, and this research helps spacecraft reach their destinations unscathed.