Artificial Intelligence Driven Crypto Currencies
Open Access
- 22 September 2020
- journal article
- Published by ABC Journals in Global Disclosure of Economics and Business
- Vol. 9 (2), 107-118
- https://doi.org/10.18034/gdeb.v9i2.557
Abstract
Artificial intelligence-driven cryptocurrencies are cryptocurrencies created by Artificial intelligence using the traditional human cryptocurrency development framework without human intervention. An AI explores the data from each different stream and arriving at the framework which can host these cryptocurrencies following the standards of legality. Cryptography is the encryption of specific data to conceal it and keep it a secret from unwanted third parties. Cryptocurrencies are encrypted currencies with unique keys as developed by developers. Artificial intelligence is an advanced machine programmed to simulate and emulate human intelligence by carrying tasks and reaching conclusions with little or no human intervention. This work considered the use of AI through machine learning and deep learning in the development of cryptocurrencies. The AI machine will set all the parameters and structure of the cryptocurrency. This will include how data is added, removed, and verified on the stream. Blockchain is an open ledger of a cryptocurrency's transactions. It stores files in the system, arranged in blocks, and connected on a list called chains. The article considers how AI-driven cryptocurrency will run using the blockchain network and its impact on it. Artificial intelligence and cryptocurrency are technological very essential technological development currently. The effect of the combination of both technologies would be enormous in the future as both technologies will develop each other remarkably.Keywords
This publication has 14 references indexed in Scilit:
- Crowdsourced Software Testing: A Timely OpportunityEngineering International, 2020
- Image Association to URLs across CMS Websites with Unique Watermark Signatures to Identify Who Owns the CameraAmerican Journal of Trade and Policy, 2019
- Automation and Machine Learning in Transforming the Financial IndustryAsian Business Review, 2019
- AI Health Check Monitoring and Managing Content Up and Data in CMS WorldMalaysian Journal of Medical and Biological Research, 2018
- AI and Machine Learning in Retail Pharmacy: Systematic Review of Related LiteratureABC Journal of Advanced Research, 2018
- Cascading Cache Layer in Content Management SystemAsian Business Review, 2018
- Stock Market Prediction using Machine Learning: A Systematic Literature ReviewAmerican Journal of Trade and Policy, 2017
- Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added SecurityEngineering International, 2017
- What Impact does Internet of Things have on Project Management in Project based Firms?Asian Business Review, 2016
- Enabling Trustworthiness in Artificial Intelligence - A Detailed DiscussionEngineering International, 2015