Fetch.ai, pioneer in the field of decentralized artificial intelligence ( IA ), recently merged with Singularitynet and Ocean Protocol to form the Artificial Superintelligence Alliance (ASI) . This fusion marks a turning point in progress towards general artificial intelligence (AG) and artificial superintelligent (ASI) . In this article, we will explore this merger in detail, its impact on the ecosystem of decentralized AI, and the concrete implications for users, developers and investors.
Table of contents
Key definitions: general artificial intelligence (AG) and artificial intelligence superient (ASI)
Before diving into the details, it is crucial to understand the concepts of general artificial intelligence (AG) and the superintelligent artificial intelligence (ASI) . AGE is an artificial intelligence capable of performing all the cognitive tasks that humans accomplish, with a similar or higher level of competence. Unlike specialized AI (such as those used in image recognition or language translation), AG is versatile and flexible. the ASI , on the other hand, goes beyond act. It describes an AI which far exceeds human intelligence, performing much more complex and rapid cognitive tasks than what the most intelligent human could accomplish.
Fetch.ai: combine AI, blockchain and autonomous agents
Fetch.a is distinguished by its unique ability to combine artificial intelligence, blockchain and autonomous economic agents (AEA) in a decentralized environment. These three elements interact harmoniously to allow advanced automation of tasks and intelligent resource management.
Integration of autonomous economic agents and blockchain
Autonomous economic agents are at the heart of the Fetch.ai infrastructure. They use machine learning algorithms to make real -time decisions and interact with other agents or decentralized systems via fetch.ai blockchain. These agents can, for example, manage smart contracts to negotiate transactions automatically. The personalized fetch.ai blockchain serves as a support to record all these interactions in a secure and immutable manner.
Examples of applications of autonomous agents in fetch.ai
The independent agents of Fetch. Ai perform various tasks in decentralized networks . For example :
- Energy management : In a decentralized electrical network, agents can adjust energy consumption to meet fluctuations in real -time demand, thus optimizing energy efficiency.
- Logistics : In transportation and supply chain, agents can coordinate the delivery of goods, taking into account traffic conditions, costs and delivery times.
These agents make possible a fluid interaction between machines and decentralized services, without direct human intervention.
A unique approach: the decentralized digital economy according to fetch.ai
Fetch.ai offers a unique approach to build a decentralized digital economy . Unlike traditional centralized models, where companies control data and processes, Fetch.a allows its users to monetize their resources, services and data directly, thanks to autonomous agents.
Define the decentralized digital economy
A digital economy is based on electronic transactions between various parties, ranging from businesses to consumers. As part of Fetch.ai, this economy becomes decentralized thanks to the use of blockchain and autonomous agents. The main players include:
- The developers : they create agents and decentralized applications that integrate into the infrastructure of Fetch.ai.
- Users : They interact with agents to access services such as energy management or logistics.
- Companies : They use agents to optimize their processes, such as inventory management or the distribution of goods.
Examples of transactions carried out by the AEA
Transactions carried out by autonomous economic agents include payments, data exchanges, and the execution of smart contracts . For example, an agent can negotiate the purchase of electricity at a specific time to benefit from advantageous rates, or sell market forecasts to real -time traders.
Blockchain and machine learning: optimized synergy
The fetch.ai blockchain is designed specifically to support the complex interactions required by AI algorithms. Unlike traditional blockchains, Fetch.a optimizes its performance to process high volumes of real -time data, while allowing machine learning algorithms to interact directly.
Optimization of blockchain for AI
personalized blockchain infrastructure , allowing rapid execution of smart contracts and fluid management of transactions between agents. The blockchain is able to deal with many interactions simultaneously, while remaining secure and decentralized.
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Integration of machine learning algorithms with blockchain
Machine Learning algorithms interact with the fetch.ai blockchain to allow real -time decision -making. For example, supervised learning algorithms can adjust an agent's parameters to improve its performance over time, depending on the data collected and previous interactions. What distinguishes Fetch.ai is his ability to execute these algorithms directly on his blockchain , thus ensuring transparent and effective integration.
Singularitynet and its role in the development of Act
Singularitynet is a platform dedicated to the development of general artificial intelligence (AG) . Created by Ben Goertzel , its objective is to democratize access to AI algorithms by offering an open market where companies and developers can buy, sell or exchange AI services.
Difference with markets like Bittensor
Unlike platforms like Bittensor , which focuses mainly on the computing power and the optimization of AI models, Singularitynet emphasizes the creation of an open ecosystem where AI algorithms can be shared, improved and combined to reach AG. Singularitynet is not content to improve existing algorithms, it aspires to use them to create versatile AI.
Ocean Protocol: monetization of data assets
As part of this merger, Ocean Protocol plays a key role by allowing the monetization of data assets . This means that users can share and sell their data on a decentralized platform, while guaranteeing their confidentiality through smart contracts. For example, a health company could sell data sets anonymized to researchers to cause AI models, while keeping control over their use.
An extended ecosystem with additional tools
The merger with singularitynet and Ocean Protocol offers Fetch.ai access to a wider technological ecosystem . This includes additional tools such as:
- NUNET : A decentralized calculation network that makes it possible to exploit additional IT resources.
- OpenCog Hyperon : an advanced cognitive architecture for symbolic and scalable AI, integrated with singularitynet, which makes it possible to treat complex tasks in a more intelligent way.
These tools expand the capacities of developers and businesses by offering them new possibilities to develop and deploy AI solutions.
Yuma consensus: assess the quality of transactions in fetch.ai
Yuma Consensus is an advanced mechanism used by fetch.ai to guarantee the safety and integrity of the network . It makes it possible to assess the quality of the work of minors and validators according to their contributions to the network. Unlike traditional consensus which focuses only on the validation of transactions, the Yuma Consensus assesses the performance of agents in the execution of their tasks.
Conclusion
The merger of Fetch.ai, Singularitynet, and Ocean Protocol constitutes a major step towards decentralized artificial intelligence . Together, these three platforms create a robust infrastructure to develop and use complex AI solutions while ensuring decentralized control of data and resources. By offering innovative tools and developing open ecosystems, the Artificial Superintelligence Alliance (ASI) is positioned as a key player in the next technological revolution.
Faq
What is Fetch.ai?
Fetch.ai is a decentralized platform that combines artificial intelligence, blockchain, and autonomous economic agents to automate tasks in a digital economy.How does Yuma Consensus work?
The Yuma Consensus assesses the quality of the work of minors and validators according to their performance in the execution of tasks assigned within the network.What is the Artificial Superintelligence Alliance (ASI)?
ASI is a fusion between Fetch.ai, Singularitynet, and Ocean Protocol aimed at accelerating the development of general and superintent artificial intelligence.How does Ocean Protocol allow data monetization?
Ocean Protocol allows users to sell and buy data sets safely via smart contracts, thus ensuring the confidentiality of information.
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Noah
Training engineer, I quickly became interested in the field of finance. Convinced that decentralized finance has a bright future ahead of it, I participate in its democratization by developing Crypternon.
