We live in a world where strong technological powers such as artificial intelligence and Blockchain are not only our digital fate, but also redefine the limits of innovation. A major example of our radar Dimine (Short for decentralized physical infrastructure network), a mixture of web3 ecosystems that provide effective solutions to the daily challenges faced by humans.
DePin enables a more democratic future to calculate power through a vast global network where everyone can participate in the economy of resource participation. As an infrastructure from counterpart to counterpart, it opens the effective distribution of computing resources and allows users to earn bonuses for their contributions.
This innovation seeks to bridge the gap between the digital and material worlds through Blockchain technology. There were various DePin projects such as Network, Drife, Helium Network, Healthblocks, Smartpoints, Airweave, etc. Transport sector.
The emergence of DePin paved the way for innovators to create costly effective solutions to inefficiency and restrictions on current critical infrastructure such as transportation, water supply, energy, communication systems, financial services, health care and defense. Most likely, it is scheduled to eliminate centralization and encourage decentralized ownership of these critical services.
As an independent researcher, I find Depin projects great enough to study them individually. In this article, we explore Aten Krotos (also known as Suraj Venkat) and arthava works on zero knowledge of general intelligence (ZKAGI), an open source AI project based on DePin. Benefiting from zero knowledge and religion, the duo Zkagi suggested to address privacy concerns in artificial intelligence.
What is the evidence of zero knowledge (ZKPS)?
Zero knowledge of proofs (ZKPS) is an encryption technique that allows one of the two parties (the proverb) to persuade another party (verification) that it has specific information, without revealing the information itself. In the zero knowledge system, the proverb is convinced as checking a secret without detection, using a special proof key and the verification key.
This relatively new field has become the cornerstone of privacy in the crystallization world, which reinvents how to share sensitive data or information without revealing it. Since the key point around ZK is the sharing of data while maintaining privacy, the team has made a strong issue to expand the issue of using zero knowledge to artificial intelligence (AI) within the DePin ecosystem.
As an open source Depin project, ZKAGI seeks to face privacy challenge in artificial intelligence by combining two advanced techniques: zero knowledge (ZK) and decentralized physical infrastructure network (DePin). This innovative approach highlights the need to calculate safe and private artificial intelligence on a cost effective platform.
Using a diary, ATEN, CEO and Founder, describes as “secret diaries where you store important information but not only recorded ideas but understand what to do and achieve it!”
Determination of zero knowledge, general intelligence (Zakaji)
Zkagi (Zero-Knowledge General Intelligence) is an open source framework that facilitates safe and safe artificial intelligence on a dentin network (DePin). By integrating uniform learning and zero knowledge, ZKAGI stimulates all participants-graphics processing unit services, trainers, developers and data owners-to contribute to an ecosystem of artificial intelligence that focuses on privacy.
Aten (Suraj) writes the founder and CEO of ZKAGI: “Zkagi treats the problem of privacy in artificial intelligence by integrating zero knowledge technology (ZK) with decentralized infrastructure, providing AI account safely and specially on a cost -effective platform. “
“Takenapse, our ZKML processor, API enables smooth artificial intelligence without exposing sensitive data, making it the main option for developers and institutions that seek artificial intelligence solutions on privacy with high processing speeds and significant costs.”
Zynapse API
As an open source Depin project, ZKAGI offers valuable visions in Zynapse, a proposed solution to privacy concerns in artificial intelligence. According to Aten, Zynapse is the ZKML processor (Automated Learning for Knowledge), which enables smooth artificial intelligence without compromising sensitive data.
The Participant Participants Application interface for Zynapse Zkagi makes the perfect choice for developers and institutions that seek to obtain specialized solutions, high treatment speeds and cost -effective solutions. The choice of DePin justifies the fact that it provides an effective and developmental AI account and significantly reduces cost compared to what is provided by traditional artificial intelligence platforms. By taking advantage of Zynapse, the goal is to help “developers and institutions to open the full potential of Amnesty International while ensuring the privacy of their data.”
Sporting components of general intelligence
It is important to discuss the layers that were built on the general knowledge of artificial intelligence (ZKAGI) in short as a DEPIN project. These layers are the basic building blocks of ZKAGI and include: DePin, ZK, decentralized data ownership, unified learning and motivation.
Dimine
Aten DePin defines “as a network of physical infrastructure resources (such as computer capacity, storage and networks) that is distributed across different sites instead of being central in one data center”, with a highlight of the fact that this decentralized model provides benefits such as improvement with error, The ability to expand, reduce cumin.
Stimulation/resource sharing
Experts have identified the main advantage of DePin projects as its ability to provide symbolic incentives, which helps to enhance the aspect of the width and asking it. The lifeline that is maintained by the participants who contribute to their computer power and the users they need.
Aten: “ZKAGI aims to stimulate the various stakeholders within the ecosystem. GPU is motivated to contribute to their account resources in the network, and trainers are encouraged to develop and refine artificial intelligence models, and artificial intelligence developers are excited to create innovative applications. You can take These incentives are different forms, such as financial rewards, access to network resources, or reputation within society. “
Decentralization data ownership
With the continued expansion of the scene of artificial intelligence very quickly, one of the main concerns that have recently appeared in the data -based applications and data are ownership and privacy of data.
According to ATEN, solving this challenge through ZKAGI “implement mechanisms to enable data owners to keep their data control while allowing them to train artificial intelligence models. This solution may include techniques such as federal learning” where models are cooperatively trained via multiple devices or servers Without sharing the initial data, and proving zero knowledge, which allows the parties to prove the authenticity of the statement without revealing the basic data “
Federal learning
This confirms the role and importance of the automatic learning model in the development of ZKAGI as Amnesty International, which is based on the decentralized physical infrastructure network. ATEN describes federal learning as “the approach to automatic learning where the training process is decentralized, and the training of individual devices or servers is a global model without sharing its raw data.”
ZK evidence
As previously discussed, the zero proofs are encryption techniques that allow the sharing of data or sensitive information between the (proverb) and another (verification) without revealing its content. In the context of ZKAGI, zero knowledge evidence can be used to verify account safety or operation on the accuracy of artificial intelligence models without detecting sensitive data.
conclusion
Web3 is a revolution in a revolution in how to reach and share the power of computing. This transformation, which is nourished by its potential to provide cost -cost solutions to increase leading companies such as DRIFE, decentralized passenger participation platform, and the Storx network, which is the decentralized cloud computing platform.
This decentralized approach also enables a democratic future for Amnesty International. However, the demands of the most powerful infrastructure, incentives for stakeholders, and the increasing interests of privacy are increasing. The hard anxiety of privacy protection in artificial intelligence gave birth to Zkagi, an innovative open source frame prepared to reshape the privacy of artificial intelligence data within the DePin ecosystem.
