Original Author: Dylan Ban, Messari analyst
Original translation: Yuliya, Panews
In the rapidly developing artificial intelligence scene, decentralized physical intelligence (Depai) provides a new solution to control robots and physical infrastructure. From collecting data in the real world to smart robots that have been published on decentralized material infrastructure (DePin), DEPAI progress is steadily progressing. As expected by the CEO of Nvidia Jensen Huang: “The moment Chatgpt in Universal Robotics is us.”
Thinking about the journey of technological progress, the digital age began with devices and then expanded in the world of unfinished software. On the other hand, the era of artificial intelligence began with software and is now leading to the material world, the final borders.
In a world in which independent artificial intelligence agents will soon work on robots, smart cars, drones, and robots gradually replace traditional work, the issue of ownership of these smart devices has become a great social concern. While Central players have not fully dominated the market, Depai provides a rare opportunity to create an actual ecosystem of artificial intelligence.
Currently, the DePai infrastructure is quickly ripe, as the data collection is the most active area. This aspect does not provide real data required to train physical artificial intelligence agents on robots, but also flows data in the actual time for environmental mobility and tasks.
However, obtaining high -quality real world data is still the important bottleneck to develop physical artificial intelligence. While omniver and Cosmos in NVIDIA provides innovative solutions through simulator environments, artificial data is only part of the entire ecosystem, with no remote operation and video data in the real world.
The process is remotely
In remote operation, FRODOBOTS publishes effective cost connection robots worldwide through DePin. These robots do not capture human decision -making behavior in realistic environments during operation, which leads to the creation of high -value data groups, but also to address a limited capital of capital.
Through the virtuous course mechanism driven by the distinctive symbol, DePin speeds up the process of publishing data collection and robots. For automatic institutions that look forward to improving sales performance while reducing capital expenses and operating costs, DePin offers great advantages on traditional models.
Video data applications
In the world of video data applications, Depai can take advantage of realistic video data to train material artificial intelligence systems, and build spatial awareness of the real world. In this regard, Hivemapper and Natix, with their unique video databases, are preparing to become major data sources.
Mason Nystrom, the main investor in Pantera Capital, said, “While individual data may not achieve commercial value, the collected data carries a great promise,” noted by Pantera Capital, Mason Nystrom, noted. The advanced Quicksilver platform from IOTEX can collect data via DePin while ensuring healthy data and privacy protection.
In the field of spatial intelligence and account protocols, the industry seeks to achieve decentralized management of spatial coordination and three -dimensional virtual twinning in the real world through DePin and Depai. For example, the Posemesh technology of the AUKI network allows spatial awareness in actual time while ensuring privacy and decentralization.
The application of artificial intelligence agents showed the initial success, as Sam used the international robot network for Frodobots to infer geographical location. In the future, with frameworks like Quicksilver, artificial intelligence agents will be able to access better time data provided by DePin.
For investors looking to enter the field of physical artificial intelligence, investment in DAOS may be an ideal entry point. While taking Xmaquina as an example, it provides the members of the various physical assets of AI that cover the material assets of the machine, the DePin protocols, automatic institutions, and intellectual property, and are equipped with the search and development team at home for support.
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