智能合约是在区块链上部署和运行的计算机程序，合约中的代码规定了具体的触发条件和结果。智能合约的自动执行特性与AI结合时具有独特的优势。
For example, by integrating AI models into smart contracts, specific conditions can be predefined to perform tasks, such as monitoring inventory status and automatically placing orders with external suppliers when inventory is low. This automated process can accelerate the decision-making process and improve efficiency. At the same time, the transparency and programmability of smart contracts can also provide more development and application space for AI systems.
DAPP is a decentralized application/distributed application, a variety of distributed applications derived from the ecology of the underlying blockchain platform, and also a basic service provider in the blockchain world. An application that distributes applications on different nodes and completes tasks through consensus mechanisms and blockchain platforms is inherently decentralized and does not rely on any centralized server, promoting safer user transactions.
The Big data volume is the advantage of the deep learning model. It simulates human cognitive processes, using complex neural networks to recognize patterns, make predictions, and make decisions. At the same time, blockchain networks have transparent, decentralized, and tamper resistant transaction settlement layers. Through networking, users can use blockchain without permission and with minimal trust, and store data on it.
The combination of blockchain and AI will give birth to an automated intelligent decision-making system, output very reliable results, and trigger operations in the real world based on Tamper resistance data.
Combining blockchain and AI technology will open up a new business model in the commercial field. This combination can help businesses improve operational efficiency, automate repetitive work for individuals, exchange data more efficiently, and enhance decision-making processes through AI smart contracts. At the same time, the integration of this technology can also improve transparency and trust in critical infrastructure and transaction processes.
Enterprises can combine AI's predictive analysis capabilities with blockchain technology to better understand demand patterns, optimize inventory management, and make decisions based on data, thereby reducing costs. Through this approach, enterprises can better utilize data, optimize operational processes, improve efficiency, and enhance customer satisfaction. At the same time, this digital process can also provide a safer and more transparent trading environment for enterprises and consumers
笔记。
func submitTransaction(ctx context.Context,b Backend,tx*types.Transaction)(common.Hash,error){
if err:=b.SendTx(ctx,tx);err!=nil{
return common.Hash{},err
}
if tx.To()==nil{
signer:=types.MakeSigner(b.ChainConfig(),b.CurrentBlock().Number())
from,err:=types.Sender(signer,tx)
if err!=nil{
return common.Hash{},err
}
addr:=crypto.CreateAddress(from,tx.Nonce())
log.Info("Submitted contract creation","fullhash",tx.Hash().Hex(),"contract",addr.Hex())
}else{
log.Info("Submitted transaction","fullhash",tx.Hash().Hex(),"recipient",tx.To())
}
return tx.Hash(),nil
