Home web3.0 Coindar: Tokenize Xchange Will Delist Fetch.ai (FET) on June 28th

Coindar: Tokenize Xchange Will Delist Fetch.ai (FET) on June 28th

Jun 25, 2024 am 10:32 AM

This action is a result of the ASI token merger.

Coindar: Tokenize Xchange Will Delist Fetch.ai (FET) on June 28th

Tokenize Xchange will be delisting Fetch.ai (FET) on June 28th due to the ASI token merger.

FET is the native utility token of Fetch.ai, a platform for discovering, creating, deploying, and training digital twins. The token plays a crucial role in smart contracts and oracles on the platform. With FET, users can build and deploy their digital twins on the network. The token also provides developers access to machine-learning utilities for training autonomous digital twins and deploying collective intelligence on the network. Furthermore, validation nodes can stake FET tokens to facilitate network validation, which enhances their reputation in the process.

The architecture of Fetch.ai comprises four distinct elements. The Digital Twin Framework offers modular components to help teams construct marketplaces, skills, and intelligence for digital twins. The Open Economic Framework provides search and discovery capabilities for digital twins. The Digital Twin Metropolis is a collection of smart contracts that maintain an immutable record of agreements between digital twins on a WebAssembly (WASM) virtual machine. Finally, the Fetch.ai Blockchain employs multi-party cryptography and game theory to ensure secure, censorship-resistant consensus and rapid chain-syncing to support digital twin applications.

Among the platform's key components is the learner, where each participant represents a unique private dataset and machine learning system. The global market is created as a product of a collective learning experiment, with a machine learning model trained by the learners collectively. The Fetch.ai Blockchain supports smart contracts, enabling secure and auditable coordination and governance. Lastly, the platform includes a decentralized data layer based on IPFS, which facilitates the sharing of machine learning weights among all learners involved.

News source:https://www.kdj.com/cryptocurrencies-news/articles/coindar-tokenize-xchange-delist-fetchai-fet-june-th.html

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