人工智能和 DeFi 的结合可以使两个行业受益

Artificial intelligence and decentralized finance have been promoted as technical experts who can change the world. Experts say that combining the two may create unparalleled opportunities for these two industries. It is a financial service based on blockchain technology, which mainly involves the use of smart contracts to eliminate intermediaries such as banks and let individuals directly control financial assets. On the other hand, artificial intelligence can simulate human intelligence and execute decisions at high speed to solve problems. And data analysis, the chief scientist said that the ability of artificial intelligence to effectively analyze a large number of data recognition patterns and make intelligent predictions can optimize operations, enhance security measures and provide personalized services for users. The use of artificial intelligence can also improve the functions of helping to review smart contracts and determine loan credit scores, indicating that decentralized computing resources may create a fairer and more just artificial intelligence ecosystem by providing an infrastructure with strong computing power, high efficiency and energy saving. The increasing complexity of system artificial intelligence algorithm brings challenges, but the technology focusing on distributed computing and open collaboration provides a promising framework for promoting collaborative artificial intelligence plan. There are some preliminary synergies between artificial intelligence and decentralized applications. Combining artificial intelligence with decentralized applications can improve these two industries, and may increase the use cases of cryptocurrency and blockchain technology in the process, and can also introduce more incentive methods to disperse the data market and algorithm market. If all the data in the whole infrastructure in other fields are regarded as assets, the higher the quality of the data, the more valuable it is. It is said that because artificial intelligence models are designed for different applications, there may be a market for these models, and users can choose and buy the model that best suits their specific needs, thus creating a demand-driven market. The key point is to match the correct artificial intelligence model with the correct use case. However, although integrating artificial intelligence into the platform can bring huge opportunities, there are also potentials. The current security challenge, artificial intelligence, allows traders to implement trading strategies to identify market trends through artificial intelligence-driven trading robots and predictive analysis. However, artificial intelligence algorithms are easily affected by data manipulation, which may lead to losses if everyone relies on the same flawed data model. Gary Gensler, chairman of the US Securities and Exchange Commission, expressed similar concerns about the use of artificial intelligence in traditional financial markets in. Gaenssler believes that if mainstream financial institutions start to take root, Making decisions based on the same data model may lead to herd mentality, undermine the stability of financial markets and inadvertently lead to economic recession. On the other hand, the blockchain analyst told us that the combination of technology and artificial intelligence may represent a breakthrough integration with great potential. In her view, artificial intelligence may help solve problems in the field, and vice versa, which may promote the development of these two fields and make financial services more efficient, safe and convenient. The key issue is not whether we implement artificial intelligence, but how to implement artificial intelligence to maximize its benefits. The ability of artificial intelligence to analyze large data sets can enhance the risk assessment, fraud detection and predictive analysis. On the contrary, transparent decentralized accounting books can improve the accuracy and fairness of models for providing robust tamper-proof data. Artificial intelligence has been used in the field to help detect fraud, authentication and combat money laundering. If the synergy between careful consideration and artificial intelligence may completely change the industries such as finance, health care and supply chain, thus improving efficiency and transparency to a new level, she said, because decentralized technology provides diverse and secure data sets, this integration has the potential of innovative applications, enhanced data privacy and powerful artificial intelligence models, but it is necessary to deal with challenges such as scalability and interoperability, and at the same time solve ethical and regulatory issues, in addition to what can be achieved by artificial intelligence. While being excited about the achievements, there are also great fears. CEO Elon Musk and other scientific and technological leaders have been warning about the possibility of the abuse of artificial intelligence, and even demanding that the development of artificial intelligence be suspended. The United States and many other countries have taken measures to standardize the development of artificial intelligence and prevent some predicted worst cases from coming true. So far, only Europe has made real progress, and the European Union has established a framework to stipulate the obligations of artificial intelligence development, including testing. Transparency of records and obligation of notification suggest that the integration of artificial intelligence may require a brand-new regulatory environment to solve its impact, which may bring another problem to the regulatory agencies that are already trying to keep up with the rapid growth of artificial intelligence industry. It should be emphasized that artificial intelligence is not only a fleeting trend, but also a trend, which will always exist and will increasingly become a part of our daily life. The key is to guide this integration responsibly and ensure the deployment of artificial intelligence. Ethical, fair and in line with social values, she added that people's concerns about the content generated by artificial intelligence have increased exponentially in the past few years. In its first global risk report, the World Economic Forum emphasized the adverse consequences of artificial intelligence technology. The United Nations also called on artificial intelligence stakeholders to solve the problem of spreading false information and asked them to take immediate and urgent actions to ensure that the responsible use of artificial intelligence has been marked as a problem of special concern. Artificial intelligence video technology can create calculations. Machine-generated images and sounds, which are usually indistinguishable from real images and sounds, have been used in the film industry to delay the aging of actors. However, this technology also has its dark side. Recently, the ghost of American President Joe Biden called voters on suspicion of manipulating the results of the 2008 election, and music superstar Taylor Swift also found herself a victim of deeply forged images, because artificial intelligence was used to create her explicit photos on the Internet, showing the depth of all industries in the world from 2000 to 2000. In an interview, the director of creative content said that in his opinion, decentralization and artificial intelligence are inextricably linked, and we are in the early stage of their relationship. It seems that the wider adoption of artificial intelligence may lead to a more decentralized world. It is believed that software such as chat bots can provide a reliable background of relevance, foundation and evolution, which is valuable to users on both sides of the customer equation. It seems that many problems in the field are related to the pace of change. With the continuous development of application platforms and decentralized exchanges, it is difficult to establish a relationship with this leader. 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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