AI 加密赛道——下一个牛熊轮换将继续存在

The development momentum of Ethereum, a vernacular blockchain compiled by the author, is really eye-catching, and it continues to climb to a new height. With the real meeting point of the product market now, it seems that we are about to usher in a more brilliant moment. Today, I even saw that we are considering implementing a strategy to allow you to use double leverage to stabilize the currency. This is really a crazy era. Today, I will discuss with you the next indispensable continuous rotation of the cryptocurrency encryption track. In the past few months, my friends and I have Friends have been constantly investing money to find new growth opportunities, especially in this bull market, but there is one area where artificial intelligence has attracted my greatest attention. From January to March, I saw a huge increase, both in price and attention, as if it reproduced the great success of technology giant NVIDIA. Perhaps it will not be surprising to you. You may have heard that artificial intelligence projects in this field, both chain projects and some old projects, are spending some time studying. After various projects, the use cases and attention of some projects seem to be more interesting than others. Let me briefly express my thoughts here. The rise of artificial intelligence in the field of encryption is not surprising. With the latest development of traditional financial fields, such as raising funds with NVIDIA at a very high valuation, the field of encryption is bound to keep pace. One of the important factors is the huge difference between the expected return on NVIDIA and the actual return. The actual return always seems to exceed the expected value, and artificial intelligence is integrated. The field of encryption represents a major revolution in market operation, and the potential of this field is enormous, because the market value of artificial intelligence industry is only $100 million, while the market value of popular categories exceeds $100 million. Some people may think that the stalk map is more novice-friendly, but let's ask ourselves what real benefits this has brought to encryption as a field, especially when institutions start to enter the market this year, we must look for projects that focus on improving market operation. Before I discuss it in depth, I am coming here. Let's take a brief look at the potential use cases of artificial intelligence in the encryption field before some projects of interest in the coming artificial intelligence cycle. With the continuous development of this field, artificial intelligence technology has caused a sensation in the world of digital assets. Nevertheless, cryptocurrency is the peak of digital assets, and various kinds of artificial intelligence fields are attracting a lot of attention. Each of them uses artificial intelligence to enhance security, optimize transactions and improve scalability in different ways, and understand the various basics driven by artificial intelligence Principles and their different technologies can help us firmly hold and use this developing encryption field. In the encryption ecosystem, artificial intelligence means many different things, machine learning language processing and even enhancing all aspects of the ecosystem. It can also be applied to the fields of transaction security and data analysis. In recent development, trading has become an important interest area for cryptocurrency holders. In this specific trading field or in other words, it is artificial on any chart index. Intelligent algorithms can be used to analyze market data, identify trends, and automatically execute transactions according to specific conditions. The speed and accuracy are beyond our own capabilities, which leads to the results. This can also be backtested efficiently and quickly. This is just an example, but in general, artificial intelligence technology has revolutionized our industry by improving efficiency, security and transparency, and plays an important role in shaping the future of our ecosystem. Before going into further discussion, let's take a look at investing in artificial intelligence. Factors to be considered: the application scenario of technology. We should first understand the technology behind it and what its application scenario is. Ideally, we want to find a team that solves real-world problems and has a solid technical foundation. We also need to see who is behind the project. Sometimes age or experience time in a specific field is not the best factor to evaluate experience, but a team with professional experience in related fields is an ideal candidate. Strong candidates usually increase the success and reliability of fundraising. Opportunities, partnerships, and looking for projects that cooperate with powerful organizations. A recent example is the NVIDIA meeting, where the CEO who saw some form of cooperation agreement with the agreement delivered a speech at the meeting, which greatly improved the credibility of the project, resulting in the price almost reaching the peak adoption rate of US dollars before the meeting. It is able to assess whether the community supports the project and whether like-minded individuals believe in the adoption rate, which will lead to a healthy ecosystem market demand assessment. Market competition and differentiation strategic products have found a good product market fit. By considering the factors I mentioned above, you will be able to make more wise decisions when choosing investment projects. The following are some of my more optimistic introductions. It is a decentralized and license-free rendering technology, hence the name. It meets the needs of creators who need high-quality graphics. It usually requires a lot of computing power according to the complexity of the required graphics. To some extent, some rendering requests may require a lot of power, so solving this challenge by providing its computer network and its power has provided a huge pool of computing power for anyone. Since the end of the narrative, it has witnessed remarkable growth since the middle of last year. Now, the project can use the provided market to do various things, such as deeply forging the graphics of the application and generating advanced power videos from the text. It is worth noting that it can now be done by performing shading. Dyeing request has opened the road to the next level of graphics for the encryption field and its expanding departments in the future. In recent development, it has been extended to the network, which is also a major manifestation of this cycle. It has increased from the low point after the collapse and has been active in recent years. The project has also cooperated with the most famous creators like this as a machine learning product. It has created a decentralized platform as a machine intelligence market, which enables the project to jointly develop machine learning models, thus promoting rapid expansion. Developing knowledge sharing and creating a growing knowledge base is a pioneer of community-driven machine learning methods, which uses strategies such as incentives to encourage the active participation of the network. The following are some important aspects of the network. First, members can evaluate each other's knowledge creation instead of focusing on specific tasks. The network encourages honesty and accuracy to maintain fairness itself, rewards and accesses network resources, and takes measures to prevent cheating. This safe verification system ensures the trust and integrity of transactions and is also deployed in the world. As mentioned above, it is one of the outstanding performers in this cycle and is expected to become the most important artificial intelligence computing in the ecosystem. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

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