温馨提示：本站仅提供公开网络链接索引服务，不存储、不篡改任何第三方内容，所有内容版权归原作者所有
AI智能索引来源：http://www.bee.com/zh/42649.html
点击访问原文链接

Messari: A look at the Decentralized Physical Artificial Intelligence DePAI map | Bee Network

进入原网站 导航首页
Messari: A look at the Decentralized Physical Artificial Intelligence DePAI map | Bee Network Login 熱門新聞 Meme Launchpad AI 代理商 DeSci 熱門鏈瀏覽器 新人必讀 衝百倍幣 蜜蜂遊戲 必備網站 必備APP 必關大神 DePIN 新人必備 教我避坑 基本工具 深度網站 交易所 NFT 工具 你好， 登出 Web3宇宙 遊戲 DApp 蜂巢 增長平台 生態 搜尋 英語 Coins儲值 登入 下載 Web3大學 遊戲 DApp 蜂巢 生態 家•分析•正文 Messari: A look at the Decentralized Physical Artificial Intelligence DePAI map分析1 年前 (2025)更新懷亞特 35,3101 10 Original article by Dylan Bane, Messari Analyst

Original translation: Yuliya, PANews

As artificial intelligence develops rapidly, decentralized physical artificial intelligence (DePAI) is providing a new solution for the control of robots and physical artificial intelligence infrastructure. From real-world data collection to intelligent robot operations based on decentralized physical infrastructure (DePIN), the development of DePAI is progressing steadily. As NVIDIA CEO Huang Renxun predicted: The ChatGPT moment in the field of general robots is coming.

Looking back at the history of technological development, the digital age started with hardware and then expanded to the intangible field of software. The era of artificial intelligence started with software and is now advancing into the ultimate frontier of the physical world.

In a world where robots, smart cars, drones, and robots run by autonomous physical AI agents are gradually replacing traditional labor, the ownership of these smart devices has become a social issue that cannot be ignored. DePAI provides a rare opportunity to build a physical AI system based on Web3 when centralized players have not yet completely dominated the market.

Data collection Currently, the infrastructure of DePAI is being improved at an accelerated pace, with the data collection layer being the most active, which not only provides the real-world data required for training the physical AI agents on the robot, but also transmits the data streams required for environment navigation and task execution in real time.

However, obtaining high-quality real-world data remains a major bottleneck restricting the development of physical AI. Although Nvidias Omniverse and Cosmos provide innovative solutions through simulated environments, synthetic data is only part of the entire ecosystem, and remote operation and real-world video data are equally indispensable.

Remote Operation In the field of teleoperation, Frodobots is deploying economical delivery robots around the world through DePIN. These robots can not only capture human decision-making behaviors in real environments and create high-value data sets during operation, but also effectively solve the problem of insufficient capital investment.

Through a token-driven virtuous cycle mechanism, DePIN is accelerating the deployment of data collection equipment and robots. For robotics companies that want to increase sales while reducing capital expenditures and operating costs, DePIN has significant advantages over traditional models.

Video Data Application In terms of video data applications, DePAI can make full use of real-world video data to train physical artificial intelligence systems and build spatial cognition of the real world. Among them, Hivemapper and NATIX Network are expected to become important data sources with their unique video databases.

As Pantera Capital junior partner Mason Nystrom pointed out: While individual data is difficult to realize commercial value, data aggregation can do a lot. The Quicksilver platform developed by IoTeX is able to aggregate data across DePINs while ensuring data verification and privacy protection.

Spatial Intelligence and Computing In the field of spatial intelligence and computing protocols, the industry is working to achieve decentralized management of spatial coordination and real-world 3D virtual twins through DePIN and DePAI. For example, Auki Networks Posemesh technology achieves real-time spatial perception while ensuring privacy and decentralization.

The application of physical AI agents has already achieved initial results, such as SAM, which is using Frodobots global robot network to infer geolocation. In the future, with the help of frameworks such as Quicksilver, AI agents will be able to better access the real-time data provided by DePIN.

For investors interested in entering the field of physical artificial intelligence, investing in DAO may be an ideal entry point. Taking XMAQUINA as an example, it provides members with a diversified portfolio of physical artificial intelligence assets, covering machine physical assets, DePIN protocols, robotics companies and intellectual property rights, and is equipped with a professional internal RD team to provide support.

原文連結

This article is sourced from the internet: Messari: A look at the Decentralized Physical Artificial Intelligence DePAI map

Related: Will Musk replace Trump? Time magazines cover is full of gunpowder Original source: TIME Original translation: BitpushNews Mary Liu The standoff at 1300 Pennsylvania Avenue didn’t get much attention. On Feb. 1, Elon Musk’s team arrived at the headquarters of the U.S. Agency for International Development, or USAID, just blocks from the White House, and demanded full access. USAID staff refused their request. No guns were drawn, no physical altercations broke out, and the police did not intervene. But in these early days of the Trump administration, perhaps no other scene more clearly revealed the forces that are reshaping American government. On one side is a 64-year-old agency with a $35 billion budget and a mission written into federal law. On the other is Musk’s political “wrecking crew” — members of the Department of Government Efficiency (DOGE), as they call themselves.…

#分析#市場#代幣# 網路3© 版權聲明文章版权归作者所有，未经允许请勿转载。 上一篇 Wall Streets securities blockchain game: hidden capital competition in the RWA track 下一篇 Wired interviewed Binance CEO: No communication with CZ, Binance's current focus is on compliance 相關文章 Messari: When BTC is disciplined, ZEC’s hedging potential is beyond imagination. 6086cf14eb90bc67ca4fc62b 14,526 From standard to drag: the foundation model is heading towards its twilight period 6086cf14eb90bc67ca4fc62b 28,210 1 Stripe L1 conjecture: From a payment giant to a blockchain disruptor, a preview of a payment paradigm revolution? 6086cf14eb90bc67ca4fc62b 25,131 2 現在還有必要玩Polymarket嗎？散戶投資者的最佳策略是什麼？ 6086cf14eb90bc67ca4fc62b 24,937 9 Breakpoint Abu Dhabi in Review: 49 Key Developments in the Solana Ecosystem 6086cf14eb90bc67ca4fc62b 17,183 Tracing the Decoupling of $XUSD: Balancer Vulnerability and the Butterfly Effect of DeFi Leverage 6086cf14eb90bc67ca4fc62b 33,300 1 則評論 您必須先登入才能發表評論！ 立即登入 喃 客人 hgds

10 年前 Bee.com 全球最大的 Web3 入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko 幣活 盔甲 下載Bee Network APP開啟您的Web3之旅 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 下載蜜蜂網路APP 並開始 web3 之旅 全球最大的Web3入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko Coinlive Armors 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 搜尋 搜尋站內鏈上社群媒體新聞 熱門推薦： 擼毛打金 數據分析 必關大神 教我避坑 繁體中文 English 简体中文 日本語 Tiếng Việt العربية 한국어 Bahasa Indonesia हिन्दी اردو Русский 繁體中文

智能索引记录