AI

This article provides a detailed introduction to Theta Network, a decentralized video transmission network built using blockchain technology. Theta aims to solve the "last mile" problem in video streaming services by incentivizing users to share bandwidth and computing resources to improve video transmission efficiency. Theta has two native tokens: THETA and TFUEL, used for network governance and transaction fees, respectively. The article also explores Theta's core mechanisms, including its consensus mechanism, resource sharing incentives, decentralized edge network, and smart contract platform. It specifically mentions the launch of Theta EdgeCloud, a decentralized software platform that provides GPU processing capability for AI and video tasks. Theta Network was founded in 2018 by Mitch Liu and Jieyi Long and has received support from investors, including Samsung.

The article explores the potential and challenges of combining AI with Web3. The author points out that despite the optimistic sentiment towards "AI + Web3," there are significant hardware and research investment barriers in reality, leading to large tech companies dominating the AI field. Web3 projects utilize incentivized crowdsourcing through encryption, making it difficult to compete with the substantial funding invested by these companies.

Dimo is a car IoT platform built on Polygon, allowing car owners to collect and share vehicle data such as mileage, speed, and location, in exchange for DIMO tokens as rewards. The platform enables real-time monitoring, management, and monetization of vehicle data through integration with hardware such as AutoPi OBDII devices. The DIMO token, based on ERC-20, aims to incentivize user participation, with governance features included in its token economy. Dimo also collaborates with IoTeX, integrating W3bstream technology to support Web3 developers' access to vehicle data, jointly creating a new ecosystem for mobile travel. With two rounds of funding raising $20.5 million, the Dimo project has a fixed token supply, with circulating supply gradually increasing.

Developed, promoted, and maintained by DFINITY, IC is a public network designed to extend global internet functionalities and transform it into a world computer. With innovative blockchain technology, IC provides infinite scalability and high-speed transaction processing capabilities.

This article introduces various AI projects in the current industry, including model training, AI agents, and computation.

The potential of combining blockchain, Internet of Things (IoT), and artificial intelligence (AI) highlights the transformative synergies of these technologies. Blockchain provides a secure, decentralized foundation for data management in IoT, while AI leverages this data for pattern recognition and decision support. This integration has practical applications in supply chain management, smart manufacturing, healthcare, and more, enhancing transparency, optimizing logistics, improving resource allocation, and accelerating medical research.

Aethir stands at the forefront of decentralized GPU cloud infrastructure, delivering innovative solutions tailored for the expanding needs of the artificial intelligence (AI) and gaming industries.

This article explores the integration of AI narratives with seven established public blockchains, including Qtum, Near, and Polygon. However, overall, even with AI integration, these established public blockchains seem to show less vigor and determination, teetering on the line between bandwagoning and genuine efforts.

Fetch.ai is a blockchain-based decentralized machine learning platform, and its open-source software project aims to build infrastructure for developing modern, decentralized, and peer-to-peer (P2P) applications.

Arkham serves as an advanced cryptocurrency analysis platform and data tracking dashboard, delivering thorough market insights and trading data to aid users in monitoring on-chain activities of blockchain entities. At its heart lies the Ultra AI address matching engine, capable of associating on-chain addresses with real-world identities, thus providing real-time data processing and extensive blockchain coverage. Additionally, Arkham introduces its token system, ARKM, accessible through its Intel Exchange market, where users can trade on-chain data intelligence. The platform's Profiler tool further provides deep dives into transaction histories and asset holdings, bolstering users’ ability to make informed decisions. Despite Arkham’s utility in tracking cryptocurrency events, it has also sparked discussions around privacy and security concerns.

Akash, Render Network, and io.net are the three largest decentralized computing networks in the market. Although they all provide decentralized computing services, each network has different business focuses. This article further compares different decentralized computing networks through network capacity, usage, and different resource purposes.

This article explores combining artificial intelligence (AI) with decentralized autonomous organizations (DAOs) to innovate decision-making and organizational growth. It details the applications of AI in different DAO governance models such as direct democracy, representative democracy, and liquid democracy, as well as how it optimizes smart contract automation and community management.

Bittensor is a crypto and AI narrative project aimed at democratizing the construction of artificial intelligence use cases through an open P2P marketplace. The Bittensor ecosystem comprises 32 subnets, attracting numerous prominent teams and projects. Its DeFi ecosystem is also rapidly expanding, encompassing applications such as staking, token sales, and lending, and involving multiple subnets in the DeFi space, such as liquidity staking, borrowing, and perpetual DEX. This underscores its genuine potential for growth.

The article delves deeply into the commercial necessity of combining AI with Web3, emphasizing the importance and challenges of distributed computing power services. It pays special attention to the IO.NET project, a distributed AI computing power platform, aiming to incentivize the convergence of AI computing power through a token model, providing flexible, rapid deployment, and low-cost AI computing services. The article analyzes the product logic, team background, and financing situation of IO.NET, and it also forecasts its potential market value. Additionally, the article discusses the development trend of the distributed computing market and possible influencing factors.

In2024, the landscape of cryptocurrency will be increasingly influenced by artificial intelligence (AI), with several coins standing out for their innovative use of this technology.