Fetch.ai to Hold AMA on X on March 26th

Fetch.ai is set to hold an AMA on X on March 26 at 4:00 PM UTC, featuring representatives from SQD.ai. The director of Fetch.ai, Maria Minaricova and the co-founder of SQD.ai, Dima Zhelezov will discuss their latest integration of real-time on-chain data with autonomous AI agents, aiming to enable smarter, automated workflows in Web3. Refer to the official tweet by FET: Join us LIVE - 26 March | 4pm UTC 🔴 () & () will discuss our latest integration of real-time onchain data with autonomous AI agents, enabling smarter, automated workflows in Web3!Host: FET InfoFetch.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.