Eps 1464: AI and Blockchain

The too lazy to register an account podcast

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Content creation: GPT-3.5,

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Charlie Harris

Charlie Harris

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If you use blockchain meta information when searching for such various data, you can only select the pure data required for training and ensure high quality training. The content of the data must be stored on the blockchain so that people can accurately understand and understand the AI-generated data and, if desired, a detailed history.
Blockchain technology can be used as data to interpret the data generated by artificial intelligence. Blockchain is a technology used to protect financial data from cyber theft, and artificial intelligence helps services make informed decisions when processing requests and keeping data safe. Blockchain ensures the secure storage of digital currency assets, while artificial intelligence allows for the seamless exchange of data and information from these networks.
AI and blockchain are two of the hottest technologies in the current scenario. Two popular technologies combined can produce good results and can be used for a variety of purposes, including financial security, supply chain logistics, generating diverse datasets, and more.
Below, we list the top eight blockchain AI projects in alphabetical order that you need to know. Let's see how you can use the combination of AI and blockchain to your advantage.
The combination of blockchain and artificial intelligence can help enable powerful digital analysis and decision-making on big data. It can be used to create secure communication and interpret AI, as well as mediate trust between devices that cannot trust each other , the blockchain was used to create a reliable and secure data platform from multiple data sources, and IoT data is stored on the blockchain using Payet cryptography.
The confidentiality of the data stored on the blockchain is guaranteed by the use of certain cryptographic algorithms. With proper programming of the blockchain, it is possible to observe all stages from data input to outputs, and the observing party will be sure that this data has not been tampered with.
This helps to increase confidence in the integrity of the data and, as a result, in the recommendations provided by the AI. Another benefit of using AI with blockchain is to improve the way you work with data. Encrypting and distributing data between multiple computers using highly secure and tamper-proof databases on the blockchain is also redefining how people and companies store information.
Companies on public blockchains prefer private blockchain networks, and artificial intelligence models can classify, analyze and derive information from financial data. With the help of blockchain, small companies and startups can challenge the tech giants by gaining access to the same information pool and even the same AI potential .
For example, blockchain can increase trust, transparency, security and privacy of business processes by providing a shared and decentralized distributed ledger. Blockchain, on the other hand, is essentially a technology that allows encrypted storage of data in a distributed ledger. Since blockchain is transparent and immutable, it can minimize the possibility of fraud in distributed exchanges or data transactions.
For example, we have explained how various blockchain features can be used to support data sharing, privacy protection, AI trustworthy decision making, and decentralized analytics. Blockchain, a platform that allows multiple participants to exchange data securely, has the characteristics of tamper-proofing and transparency, which is very suitable for recording the entire machine learning process. The blockchain and its ledger can record all the data and variables that go through the decision made in the machine learning process.
AI-based algorithms can learn different processes and activities on the blockchain, which opens the door for continuous learning. Artificial intelligence helps in blockchain mining through a thoughtful, intelligent and interactive way with the perfect training data required for the algorithm. In these cases, AI machine learning systems can improve the security of blockchain applications, tune dynamic parameters for scalability, and provide efficient tuning and governance mechanisms.