-
Cryptocurrencies
-
Exchanges
-
Media
All languages
Cryptocurrencies
Exchanges
Media
Ether AI (EAI) is the world's first and only distributed artificial intelligence value network driven by blockchain 2.0 technology, mainly to help global artificial intelligence enterprises: ensure data block encryption and connect global AI devices. The circulation of EAI tokens is 2.5 billion. 75% of the income of each mining node of EAI comes from the realization of the mined EAI, and 25% comes from the GAS fee. The mined token EAI is the incentive for the mining node based on the smart contract system, and the GAS fee is artificial The cost for smart vendors to purchase EAI network resources.
75% of the income of each mining node of Ether Zhilian comes from the realization of the mined EAI, and 25% comes from the gas fee. The mined Token EAI is obtained from the mining node according to the smart contract system Incentive, GAS fee is the fee for artificial intelligence manufacturers to purchase EAI network resources. Ether Zhilian can realize the decentralized supply of artificial intelligence core computing power. At the same time, on this artificial intelligence computing platform, artificial intelligence enterprises can obtain models through training, and use algorithms to cooperate with models to generate artificial intelligence applications.
Therefore, Ether Zhilian also plans to expand the single computing platform into an AI data trading platform, an AI algorithm trading platform, an AI model trading platform, an AI container trading platform, and an AI application trading platform. In the three-year development plan, the positioning of Ether Zhilian is to become a public chain in the artificial intelligence industry and operate in the form of a foundation. We welcome talents related to blockchain and artificial intelligence to join the community and serve the artificial intelligence industry together. After the establishment of the public chain ecology is completed, in the future artificial intelligence manufacturers can also issue their own digital currency based on the EAI public chain to realize the free exchange between their own digital currency and EAI, which will enhance the value of EAI Token itself.
By collecting and analyzing the data of artificial intelligence companies developing artificial intelligence products, we can see that nearly 10% to 30% of the total financing of many artificial intelligence companies is invested in the construction of their computing capabilities, which are mainly used for high-level research and development. Procurement and maintenance of computing performance hardware. These investments will become a heavy burden for enterprises, restricting their investment in technology research and development. We need to find a solution to completely solve this problem, so that artificial intelligence enterprises can advance the technological revolution more briskly.
Ether Zhilian is the world's first and only distributed artificial intelligence value network driven by Ethereum blockchain technology. Artificial intelligence enterprises deploying applications on the Ethernet Zhilian platform can reduce hardware costs by 70%. In addition, artificial intelligence companies can use this platform to avoid potential privacy risks when applying data. Because after the enterprise submits the neural network training requirements, it accesses the data through the smart contract in the algorithm of the platform, and will not have contact with the data. All data-related operations of the enterprise are also fixed by smart contracts, which cannot be changed and can be traced. Therefore, blockchain technology is necessary to the AI industry, and its application scale in the AI industry has a great prospect.
Using ETH blockchain technology to reduce computing power costs and protect data from tampering is a relatively large subversion of the industry's original technical solutions. In the competition with the same industry, the project is optimized by using the existing ETH code, and has more advantages in network deployment and market recognition. Ether Zhilian is a distributed, low-cost, data privacy-protected artificial intelligence computing platform based on Ethereum. It will issue Ether Zhilian Token based on ETH, and run the issuance algorithm of Ether Zhilian Token on the smart contract of ETH . The artificial intelligence computing nodes of Ether Zhilian can be composed of various forms, including full-featured nodes (permanent nodes) running on large GPU or FPGA server clusters, idle GPU server computing nodes for small and medium-sized enterprises, and personal idle GPU computing nodes.
Ether Zhilian uses blockchain technology to allow artificial intelligence neural network operations to be decentralized and distributed on a large number of nodes around the world, so as to achieve low cost by issuing EAI and reusing idle computing resources. It is preliminarily estimated that this cost is 30% lower than the cost of a user-built neural network server, and 50% lower than the cost of a traditional artificial intelligence centralized cloud computing platform. In order to meet the flexible computing requirements of user products, the massive neural network computing nodes of EtherNet can be dynamically adjusted according to the computing volume of user products. In order to protect the data privacy of the data provider, Ether Zhilian uses smart contracts to physically separate the data of the data provider and the data training party. If the data seller does not want the data to be obtained by the buyer (this leaks user privacy), or resell to others.
Ether Zhilian will use two methods to solve this problem:
First, conduct transactions on the built-in decentralized data trading platform of Ether Zhilian. Buyers cannot directly take out the data purchased on the trading platform , but directly enters the anonymous node container of the Ethernet Zhilian for training, and the trained model will also directly enter the anonymous node container where the computing engine is located for use. Data buyers cannot copy data from nodes to the outside in the process of training data and using models. Finally, the data seller can request through the client to verify whether the anonymous node container will cheat to output the original data or the variant data of the original data, and verify that the data cannot be tampered with through blockchain technology.
Second, use homomorphic encryption technology. Homomorphic encryption plays an important role in privacy data protection and AI model training. The data owner can provide the data to the developer of the training model after homomorphic encryption, and obtain the training model while protecting the data from being exposed. The threat of artificial intelligence has always been an issue that human beings need to carefully consider. Various science fiction movies have thrown pictures of artificial intelligence threatening human survival. Ether Zhilian will continue to explore the use of smart contracts to constrain some extraordinary behaviors of artificial intelligence, and to prevent potential artificial intelligence threats in the future. The distributed network nodes of Ether Zhilian can be small mining nodes - household high-performance computers.
It can be a medium-sized mining node - using Amazon Cloud, Azure, Alibaba Cloud for mining, or a large-scale mining node, such as a large mining pool. Miners only need to install the Ethereum intelligent mining software and the basic artificial intelligence operating environment (built using docker container image technology), and then they can become a node to participate in mining and earn EAI. Artificial intelligence manufacturers submit container images containing neural network computing requirements to the Ethernet Zhilian client, and there is a corresponding amount of GAS. Nodes that meet the requirements will compete to deploy the container image, and the nodes that successfully deploy the image will receive Token rewards.
Related links:
https://www.528btc.com/jingzheng/36582.html
*The above content is organized by YouToCoin official. If reprinted, please indicate the source.