philip lelyveld The world of entertainment technology

NOTCOIN vs. UXLINK: A Comparative Study on Mass Adoption Strategies in Web3

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Primarily, there are three key layers within the Web3 framework where the application of ML can offer insightful value:

Intelligent Decentralized Applications (dApps): Decentralized applications, also known as dApps, are expected to be among the most popular Web3 solutions for rapidly integrating features driven by Machine Learning. This trend is already visible in the area of Non-Fungible Tokens (NFTs) and is only set to grow further. The next generation of NFTs is expected to progress from static images to artifacts with intelligent behavior. These NFTs might be capable of adapting their behavior according to the mood or preferences of their owners. This is a clear indication of how AI can enhance the user experience in the realm of Web3.

Intelligent Blockchains: The current generation of blockchain platforms primarily focuses on key distributed computing components. These components are designed specifically to facilitate the decentralized processing of financial transactions. However, the future is set to witness the emergence of a new generation of blockchains. These advanced platforms will not merely rely on traditional components but will incorporate the capabilities driven by Machine Learning. For example, in this innovative setup, a blockchain runtime might utilize ML to predict transactions. These predictions, in turn, can be used to create consensus protocols with a scalable design. The application of AI can significantly enhance the security aspects of the blockchain. It can mine data swiftly and predict behavior effectively, thereby detecting fraudulent activities and stopping potential attacks at the earliest.

Intelligent Protocols: Apart from intelligent blockchains, the Web3 stack can incorporate Machine Learning capabilities through the use of smart contracts and protocols. The decentralized finance (DeFi) sector exemplifies this trend with great potential. As we progress into the future, we can expect to see computerized market makers or lending protocols that boast of more intelligent logic based on ML models. For instance, consider a lending protocol that uses an intelligent score for balancing loans originating from different types of wallets. This is just one of the many ways ML can revolutionize the operations of the Web3 stack. ...

See the full article here: https://news.bitcoin.com/notcoin-vs-uxlink-a-comparative-study-on-mass-adoption-strategies-in-web3/