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Fetch.ai to Be Delisted From Tokenize Xchange on June 28th

Delisting
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Tokenize Xchange will delist Fetch.ai (FET) on June 28th. This action is a result of the ASI token merger.

Refer to the official tweet by FET:

Tokenize Xchange | $TKX
@TokenizeXchange

🚨Important Update 🚨

Dear #TokenizeCommunity,

Please be informed that @Fetch_ai (#FET) will be delisted from Tokenize Xchange due to the ASI Token Merger, effective June 28th, 2024.

For more information, please visit our article here 🔗https://t.co/hmDAee177G#TokenizeXchange pic.twitter.com/W0iskUqlcL

Jun 24, 2024

FET Info

Fetch.ai's FET, a utility token, is the bedrock for discovering, creating, deploying, and training digital twins, playing an essential 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 allows developers to access machine-learning utilities for training autonomous digital twins and deploying collective intelligence on the network. Additionally, validation nodes can stake FET tokens to facilitate network validation, enhancing their reputation in the process.

The technological architecture of Fetch.ai consists of four distinctive 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. Lastly, 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, wherein each participant represents a unique private dataset and machine learning system. The global market emerges 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, allowing secure and auditable coordination and governance. Finally, the platform includes a decentralized data layer based on IPFS, facilitating the sharing of machine learning weights among all learners involved.