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Cryptocurrency News Articles
Fetch.ai Joins Web Weaver Hackathon to Empower Developers with AI and Blockchain
Apr 20, 2024 at 11:41 am
Coindar and Fetch.ai will join forces for the Web Weaver Hackathon at Pune Institute of Computer Technology (PICT), scheduled from April 19th to 21st under IEEE's organization. Participants will leverage Fetch.ai's Agents to craft an AI Agent solution with external integration, leveraging the utility token FET, which empowers the discovery, creation, deployment, and training of digital twins, anchoring smart contracts and oracles within the platform.
Fetch.ai to Collaborate in Web Weaver Hackathon at PICT, India
Pune, India | April 11, 2023 - Fetch.ai, a leading provider of artificial intelligence (AI) and blockchain technology for the development of digital twins and autonomous economic agents, is set to participate in the upcoming Web Weaver Hackathon at the Pune Institute of Computer Technology (PICT). The event, organized by the Institute of Electrical and Electronics Engineers (IEEE), will take place from April 19th to 21st and will bring together developers and enthusiasts to create innovative AI Agent solutions using Fetch.ai's technology.
During the hackathon, participants will leverage Fetch.ai's advanced AI Agents to develop unique solutions that incorporate external integrations. These solutions will showcase the capabilities of Fetch.ai's technology and its potential applications in various industries.
Fetch.ai's Platform and Technology
Fetch.ai provides a comprehensive platform that enables developers to create, deploy, and train digital twins, virtual representations of real-world entities and processes. The platform's technological architecture consists of four key elements:
- Digital Twin Framework: Provides modular components for building marketplaces, skills, and intelligence for digital twins.
- Open Economic Framework: Facilitates search and discovery capabilities for digital twins within the ecosystem.
- Digital Twin Metropolis: A collection of smart contracts that maintain an immutable record of agreements between digital twins on a WebAssembly (WASM) virtual machine.
- Fetch.ai Blockchain: Utilizes multi-party cryptography and game theory to ensure secure, censorship-resistant consensus and rapid chain-syncing for digital twin applications.
Key Features and Applications
The Fetch.ai platform includes several key components that empower developers to build and deploy sophisticated AI solutions:
- Learners: Represent individual private datasets and machine learning systems, contributing to the collective learning process.
- Global Market: Emerges from the collective learning experiment, with a machine learning model trained by the learners collectively.
- Smart Contracts: Supported by the Fetch.ai Blockchain, enabling secure and auditable coordination and governance.
- Decentralized Data Layer: Based on IPFS, facilitates the sharing of machine learning weights among all learners involved.
Fetch.ai's technology has applications in a wide range of industries, including supply chain management, healthcare, finance, and transportation. By participating in the Web Weaver Hackathon, Fetch.ai aims to foster innovation and showcase the potential of its technology to create real-world solutions.
About Fetch.ai
Fetch.ai is a decentralized platform that combines AI and blockchain technology to create a network of autonomous economic agents. These agents can interact with each other on behalf of their owners, enabling complex tasks and processes to be automated in a secure and efficient manner. Fetch.ai's mission is to empower developers and businesses to build and deploy intelligent and autonomous applications that drive innovation and growth.
About the Web Weaver Hackathon
The Web Weaver Hackathon is an IEEE-organized event that brings together developers, designers, and entrepreneurs to collaborate on innovative projects. The event provides a platform for participants to showcase their skills, network with industry professionals, and gain hands-on experience with cutting-edge technologies.
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