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DePIN leads the way, AI helps: a glance at the DePAI map of decentralized physics and artificial intelligence
DePIN leads the way, AI helps: a glance at the DePAI map of decentralized physics and artificial intelligence
Decentralized physical artificial intelligence (DePAI) is leading a new direction in the development of artificial intelligence and providing innovative solutions for the control of robots and related infrastructure. This article will conduct in-depth discussions on DePAI and its applications in the fields of data acquisition, remote operation and spatial intelligence, and analyze its development prospects.
As Nvidia CEO Huang Renxun said, the "ChatGPT moment" in the field of general robots is coming soon. The development process of artificial intelligence, from hardware to software, is now moving towards the physical world. In the era of future robot popularity, DePAI provides important opportunities for building a physical artificial intelligence ecosystem based on Web3, especially when centralized forces have not yet fully dominated the market.
The widespread application of autonomous physical artificial intelligence agents will bring about the ownership of robots, smart cars, drones and other equipment. DePAI provides new ideas for solving this problem.
Core areas:
- Data collection: In the construction of DePAI infrastructure, data collection is the most active. High-quality real-world data is the key to the development of physical artificial intelligence, and DePIN can effectively promote the deployment of data acquisition equipment and robots. While simulated environments such as Nvidia's Omniverse and Cosmos provide synthetic data, remote operation and real video data are still indispensable.
- Remote operation: Frodobots uses DePIN to deploy economical distribution robots, which not only collects human decision-making data, but also solves the problem of insufficient funds and forms a virtuous cycle. This has a significant advantage in reducing the cost of robot companies.
- Video Data Application: Video database provided by platforms such as Hivemapper and NATIX Network provides an important data source for DePAI to train physical artificial intelligence systems and build spatial cognition. IoTeX's Quicksilver platform can aggregate data across DePIN and ensure data verification and privacy protection.
- Space Intelligence and Computing: Auki Network's Posemesh technology realizes real-time spatial perception under privacy protection. SAM uses Frodobots' robot network to infer geographical locations, and will use frameworks such as Quicksilver to better access DePIN data in the future.
Investment Opportunities: For investors, investing in DePAI-related DAOs, such as XMAQUINA, may be an ideal entry point, which provides a diversified portfolio of physical artificial intelligence assets.
In short, the emergence of DePAI has provided new possibilities for the development of physical artificial intelligence, and its innovations in data, computing and applications are worthy of attention.
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