Blockchain in AI

 

Yojna Arora, Vishal

Amity University Haryana.

*Corresponding Author E-mail:

 

ABSTRACT:

Blockchain and artificial intelligence are currently two growing technologies. These two technologies are very different development parties and applications, but researchers have experimented with combining them into one. Blockchain is a decentralized distributed ledger used to store encrypted data, and AI is the brain that enables analysis and decision-making from the collected data. Both technologies can affect and manipulate data in very different ways, and when combined, can take data usage to another level. Blockchain makes AI more consistent and easier to understand. You can also understand and identify why machine learning decisions are made. In addition, AI can improve blockchain efficiency much better than humans and is better than standard computers. This report looks at how blockchain runs on a standard computer and demonstrates that it requires a lot of processing power to perform basic tasks. It also gives a detailed overview of blockchain applications for AI. We'll go over the literature, vocabulary, and the creation of AI-specific block-chaining apps, platforms, and protocols.

 

KEYWORDS: Blockchian, Artificial Intelligence, Blocks, Hash Code, Decentrealized Intelligence.

 

 

INTRODUCTION:

Blockchain may appear complex, and it can be, but its essential principle is straightforward. A database, or blockchain, is a sort of digital ledger. To comprehend blockchain, it is necessary to first comprehend what a database is. A database is a collection of data saved on a computer system in an electronic format. Database information, or data, is usually organised in table style to make searching and filtering for specific information easier. Spreadsheets are meant to store and access minimal amounts of data for a single individual or a small group of people.

 

Artificial intelligence (AI) is the simulation of human intelligence in robots that have been trained to think and act like humans. The phrase can also refer to any machine that demonstrates human-like characteristics like learning and problem-solving. The ability of artificial intelligence to rationalise and execute actions that have the best likelihood of reaching a certain goal is its ideal feature.Blockchain is one of the most popular developments these days, and it has attracted a lot of interest as a horizontal technology that can be used in a variety of industries. Since its conception in 2008, blockchain has continued to emerge as a game- changing innovation that will transform the way we connect, automate payments, trace, and track data.

 

Decentralised AI applications:

Decentralized intelligence and communal decision-making can be crucial in detecting byzantine robots' malevolent behaviour. In a swarm setting, byzantine robots are those that randomly demonstrate harmful or incorrect behaviour. The authors offer a proof of concept for employing blockchain technology to address security challenges in swarm robotic environments. This method takes advantage of smart contracts' decentralised nature to create a secure swarm systematisation mechanism for analysing and excluding byzantine individuals from the swarm.

 

Figure 1. Decentralized AI Applications

 

RESULTS:

There's a lot to like about blockchain in AI. For example, the blockchain application will be led by the economy and finance. The banking and finance industry, unlike other traditional organisations, do not need to make major changes to their procedures in order to utilise blockchain technology. Financial institutions are seriously investigating blockchain adoption for traditional banking operations after it was successfully applied for bitcoin. The blockchain application will be led by the economy and finance. National Cryptocurrencies Are On Their Way Russian President Vladimir Putin was the first to suggest the creation of a national cryptocurrency, the "Crypto Rouble". Governments expressed doubts about the specific application of cryptocurrencies throughout the development of Bitcoin. They had to be concerned when Bitcoin became a trading currency that was uncontrollable by any authority. Finally, government agencies will be heavily involved in blockchain and AI.

 

Figure 2. Blockchain Enable in AI Applications

 

CONCLUSIONS:

We recognised and reviewed the current state of the art in terms of blockchain characteristics' use and applicability for AI in this research. We provided an overview of blockchain and decentralised storage, as well as how blockchain technology may be used to improve and tackle major AI concerns. In addition, we gave a taxonomic analysis and comparisons of common blockchain implementations in terms of decentralised AI operations, blockchain kinds and infrastructure, and consensus protocols. With regard to decentralised data management and AI infrastructure, a detailed investigation of blockchain applications for intelligent multi-agent systems is reviewed. A list of AI features for blockchain applications is also provided.

 

ACKNOWLEDGEMENT:

I cannot express enough thanks to my guide for their continued support and encouragement. I am sincerely thankful to, Dr. Yojna Arora, Assistant Prof, ASET for his constant guidance and encouragement provided in this endeavor. I also thanks my parents for their continues support, understanding and patience without whose support and understanding this endeavour would never been fruitful and at last thanks all my friends for helping me out in completing this seminar and helping me in solving various problems encountered during the progress of this seminar

 

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Received on 09.06.2022            Accepted on 09.07.2022

©A&V Publications all right reserved

Research J. Engineering and Tech. 2022; 13(2): 61-63.

DOI: 10.52711/2321-581X.2022.00007