Conveners
[EI5] Technologies and environments for Web 3.0: [E15] Technologies and Environments for Web 3.0
- Young Saeng Park (WMG, University of Warwick)
Description
Web 1.0 simply provided static information to users, and Web 2.0 allowed users to participate and share information through platform-based services provided by tech giants. Now, the World Wide Web is undergoing another change. Unlike Web 2.0, Web 3.0 aims to be a fully decentralized, transparent, open, and secure environment where these infrastructure and applications will displace centralized tech giants, and individuals will be able to rightfully own their data.
For Web 3.0 to be successful, research and integration are required in various technologies, including blockchain, artificial intelligence and machine learning, AR and VR, edge computing, metaverse, ubiquitous connectivity, etc. In particular, new types of values, services and applications have recently introduced based on blockchain which is the most important technology of decentralization, such as non-fungible token (NFT), decentralised finance (DeFi), cryptocurrency (Crypto), decentralised applications (dApp), distributed ledger technology (DLT), decentralised exchanges (DEX), decentralised autonomous organisation (DAO), etc. However, Web 3.0 is still in the early stage where the definition of technologies and services have not been accurately established and it is often criticised as being nothing more than an insubstantial marketing term.
Nevertheless, Web 3.0 is a new era that we are facing or will face soon, and we must systematic and diversified preparation for it. In this session, we will explore not only technologies required for Web 3.0 but also discuss in various environments considering legal, institutional, governmental aspects.
The adoption of Internet of things (IoT) across different business domains enables smart connection between the physical world and the digital world. Voluminous amounts of data have been produced in the various business context such as manufacturing, logistics, transportation, retail, and healthcare, since the past decade as the miniaturisation of IoT devices increases (Marjani et al. 2017)....
Federated learning (FL) presents a framework for training machine learning models in a distributed and collaborative manner where participating clients process their data locally, sharing only updates of the training process. FL, aiming to optimize a statistical model’s parameters by minimizing a cost function of a collection of datasets stored locally by a set of clients, was proposed as a...
As the Internet landscape continues to evolve, a new paradigm of Web 3.0 is drawing attention to resolve the problems of existing centralised platforms and data ownership. Web 3.0, also as known the decentralised web, introduces a new wave of technologies, concepts and environments mainly built upon blockchain technology that aims to address the limitations and challenges of the previous web....
