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Blockchain Intelligence

Blockchain Intelligence
Author: Zibin Zheng
Publisher: Springer Nature
Total Pages: 170
Release: 2021-05-31
Genre: Computers
ISBN: 9811601275

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This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems. This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.


Blockchain Intelligence

Blockchain Intelligence
Author: Zibin Zheng
Publisher:
Total Pages: 166
Release: 2021
Genre: Artificial intelligence
ISBN: 9789811601286

Download Blockchain Intelligence Book in PDF, ePub and Kindle

This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems. This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.


Blockchain, Artificial Intelligence and Financial Services

Blockchain, Artificial Intelligence and Financial Services
Author: Sean Stein Smith
Publisher: Springer Nature
Total Pages: 260
Release: 2019-11-15
Genre: Business & Economics
ISBN: 3030297616

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Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples.


Regulatory Aspects of Artificial Intelligence on Blockchain

Regulatory Aspects of Artificial Intelligence on Blockchain
Author: Tehrani, Pardis Moslemzadeh
Publisher: IGI Global
Total Pages: 273
Release: 2021-09-24
Genre: Computers
ISBN: 1799879291

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The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.


Artificial Intelligence and Blockchain for Future Cybersecurity Applications

Artificial Intelligence and Blockchain for Future Cybersecurity Applications
Author: Yassine Maleh
Publisher: Springer Nature
Total Pages: 376
Release: 2021-04-30
Genre: Computers
ISBN: 3030745759

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This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.


Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities

Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities
Author: Sam Goundar
Publisher: World Scientific
Total Pages: 462
Release: 2022-05-18
Genre: Computers
ISBN: 9811225087

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This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.


Blockchain and Artificial Intelligence

Blockchain and Artificial Intelligence
Author: Tom James
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 220
Release: 2021-08-23
Genre: Business & Economics
ISBN: 3110661349

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Blockchain and artificial intelligence are perhaps the two most significant disruptive technologies this century and both will significantly rewire the world of global financial markets and the world in which we live. While blockchain offers a number of significant advantages over traditional forms of finance including lower cost and massive increases in operational efficiencies of traded markets, property records and a whole host of transaction processes, artificial intelligence is moving fast from basic structured machine learning doing menial yet important big data tasks like credit card fraud detection to predictive analysis and real-time real-world risk management and investment decision making. There is still a lot of confusion in the market about cryptocurrencies, bitcoin and the underlying blockchain technology. Blockchain and Artificial Intelligence highlights the underlying technologies of blockchain and the differences between cryptocurrencies and blockchain financial applications. It explores the current AI offerings and gives a vision of the fast-moving developments in this area including the many solutions that are expected to revolutionize the way financial and commodity markets will operate in the future.


Blockchain and Artificial Intelligence

Blockchain and Artificial Intelligence
Author: Tom James
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 220
Release: 2021-08-23
Genre: Business & Economics
ISBN: 3110661349

Download Blockchain and Artificial Intelligence Book in PDF, ePub and Kindle

Blockchain and artificial intelligence are perhaps the two most significant disruptive technologies this century and both will significantly rewire the world of global financial markets and the world in which we live. While blockchain offers a number of significant advantages over traditional forms of finance including lower cost and massive increases in operational efficiencies of traded markets, property records and a whole host of transaction processes, artificial intelligence is moving fast from basic structured machine learning doing menial yet important big data tasks like credit card fraud detection to predictive analysis and real-time real-world risk management and investment decision making. There is still a lot of confusion in the market about cryptocurrencies, bitcoin and the underlying blockchain technology. Blockchain and Artificial Intelligence highlights the underlying technologies of blockchain and the differences between cryptocurrencies and blockchain financial applications. It explores the current AI offerings and gives a vision of the fast-moving developments in this area including the many solutions that are expected to revolutionize the way financial and commodity markets will operate in the future.


Blockchain Intelligent Systems

Blockchain Intelligent Systems
Author: E. Golden Julie
Publisher: CRC Press
Total Pages: 242
Release: 2024-02-13
Genre: Computers
ISBN: 1003862837

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Blockchain provides an environment where technologies converge to provide numerous benefits. However, there are still many problems ahead, and changes are required at all levels - technology, algorithms, and human-computer interaction for widespread acceptance of blockchain intelligence systems. This book reviews blockchain technology and the current developments in research and business applications. It explores the real-time applications and issues that will bring the synergy needed to materialize the goal of blockchain intelligence. Researchers in various fields such as Blockchain, Data Analysis, IoT, Data Science, Crypto currencies will find this book useful. Students and professionals working on Blockchain in artificial intelligence, IoT, Healthcare, Robotics, Soft computing, and Data science will also benefit from this. It offers a realistic and thorough introduction that supports programmers, students and researchers in other disciplines. The book comprises chapters dealing with various issues, to provide readers with greater readability, versatility and adaptability.


Digital Health Transformation with Blockchain and Artificial Intelligence

Digital Health Transformation with Blockchain and Artificial Intelligence
Author: Chinmay Chakraborty
Publisher: CRC Press
Total Pages: 370
Release: 2022-05-10
Genre: Computers
ISBN: 1000580946

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The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.