Fetch.ai will be participating in the Web Weaver Hackathon at Pune Institute of Computer Technology (PICT). The event is sponsored by IEEE and will be held from April 19th to 21st.
During the hackathon, participants will be tasked with developing their own AI agent solution using Fetch.ai's agents. This solution is expected to include external integration.
Please refer to. FET's official tweet:
We are proud to announce that we are the title sponsor of Web Weaver. #Hackathon in @PunePict organizer @IEEEorg! 🙌
Participants will be challenged to create their own content using agents. #AIAgent Solutions that include external integration! 🔌
🗓ï¸ April 19-21, 2024 pic.twitter.com/XcrSvmAZ6z
FET information
Fetch.ai's FET (Utility Token) is the foundation for the discovery, creation, deployment, and training of digital twins and plays a key role in smart contracts and oracles on the platform. FET allows users to build and deploy digital twins on their networks. This token will give developers access to machine learning utilities to train autonomous digital twins and deploy collective intelligence on the network. Additionally, a validating node can stake his FET tokens to facilitate network validation and increase his reputation in the process.
Fetch.ai's technical architecture consists of four distinctive elements. Digital twin frameworks provide modular components that help teams build digital twin marketplaces, skills, and intelligence. The Open Economy Framework provides search and discovery capabilities for digital twins. Digital Twin Metropolis is a collection of smart contracts that maintains an immutable record of the agreements between digital twins on WebAssembly (WASM) virtual machines. Finally, the Fetch.ai blockchain employs multi-party encryption and game theory to ensure secure, censorship-resistant consensus and rapid chain synchronization to support digital twin applications.
Among the platform's key components are learners, with each participant representing a unique private dataset and machine learning system. Global markets emerge as a result of collective learning experiments with machine learning models that are collectively trained by learners. The Fetch.ai blockchain supports smart contracts and enables secure and auditable coordination and governance. Finally, the platform includes a distributed data layer based on his IPFS, which facilitates the sharing of machine learning weights among all involved learners.
