Artificial intelligence (AI) is quickly showing how it can change the landscape of modern society. The more data, the more opportunities to make data analysis a way to make strategic decisions and open up new opportunities for users.
Although the applications of artificial intelligence vary, from thinking about knowledge to games and even machine learning, new weaknesses are emerging in private and confidential information. Many of the world’s tech giants in the United States and China have amassed huge amounts of data using existing internet services to develop artificial intelligence. But the smarter the AI, the more personal information must be collected, processed, and studied, which raises a question about the ethics behind privacy.
As a result, many people are already skeptical about sharing personal and professional data due to current concerns about information misuse. On the other hand, organizations using AI do not have access to the massive amounts of data and learning models that they need.
Fortunately, data protection computing and blockchain provide the necessary privacy and security controls for compliance and facilitate data sharing and exchange. When used correctly, it can also make it easier to understand, track, and control AI.
To bring this concept of advanced AI to life, PlatON aims to create a decentralized artificial intelligence (AI) network and global brain that will effectively facilitate the democratization of AI for public AI security. The network was started by LatticeX Corporation and uses a next-generation Internet infrastructure protocol that significantly reduces the size of evidence and speeds up evidence creation and verification.
Since then, the team has released the latest version of the white paper (2.0), which for those familiar with the project contains several updates to the privacy statements.
Currently, current public networks do not meet the privacy needs of AI. Therefore, PlatON was asked to implement the Later1 core protocol, which is highly adapted to privacy-protecting AI. Basic P2P protocol is used to discover nodes and communicate via RELOAD protocol.
In addition, PlatON virtual machines support WASM and EVM, each of which contains privacy algorithms that allow developers to protect the privacy of user data during the contract. Algorithms also help ensure a standard for token privacy contracts through destruction, interaction, and patterning, which also ensures the anonymity of the user.
PlatON Edition 2.0 also introduces the privacy-preserving Metis Data Network, which combines the algorithms, processing power, and data required for decentralized computing to provide secure and confidential computing. Metis supports two types of privacy protocols: Secure Multi-Party Computing and Secure External Computing.
Of particular note is Moirae, a decentralized AI platform that provides a versatile AI development platform with end-to-end modeling workflows to manage AI workflows. This platform also serves as a marketplace for developers where they can view training datasets and interact with other models and paid users. The developer can also distribute the trained model to a single network node or multiple network nodes that make predictions using secure data processing protocols.
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Finally, White Paper 2.0 deals with the functionality of the Horae Service Node. In Horae, self-organizing group intelligence is used to connect the virtual world with the real world, and to further connect people, IoT devices and other external IT systems. Although agents work independently, their interactions can help achieve more complex goals.
Together, the updates to the PlatON white paper underscore the team’s commitment to building an interoperable next-generation computer network that could be the start of a new paradigm.
AI framework for developers
So far, Platon launched Alaya in October 2020, a pilot solution and business environment for the financial infrastructure of the future. The solution uses cross bridges between Alaya and many other circuits.
Going forward, the team will focus on developing an AI network that maintains privacy through 2021 and plans to deploy several related protocols as outlined in their official roadmap.