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Time Pressure Raises Efficient Or Inefficient Artificial Intelligence Performance
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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis Consciousness Genesis In Artificial Intelligence by : professor ibrahim elnoshokaty
Download or read book Consciousness Genesis In Artificial Intelligence written by professor ibrahim elnoshokaty and published by ibrahim elnoshokaty. This book was released on with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consciousness Genesis In Artificial Intelligence" by Professor Ibrahim El Noshokaty, I can provide a preliminary review that outlines the structure and content captured within the initial pages available to me. Below is an overview based on the table of contents and some introductory text: Title: Consciousness Genesis In Artificial Intelligence Author: Professor Ibrahim El Noshokaty Overview: The academic work delves into the complex topic of artificial intelligence and its relation to human-like consciousness. It explores whether AI can be creative, how numerical data and programming languages can emulate human sensory experiences and emotions, and the potential implications of such advances. Chapters and Themes: Introduction and Fuzzy Logic System: Initiates the discussion with fundamental questions about AI creativity and creation, followed by the exposition of fuzzy logic systems. Existential Threat and AI in Hollywood: Examines AI's potential to disrupt industries such as Hollywood, the feasibility of generative AI in original content production, and copyright issues in AI outputs. Hierarchical Fuzzy Deep Learning: Discusses advanced AI techniques to enhance learning and decision making, addressing the concepts of consciousness and fuzzy logic in AI. Algorithms for Modern Fuzzy Logic Systems: Delves into the technical aspects of fuzzy logic systems and algorithms, highlighting methods for system optimization. Development of Conscience in AI: Contemplates the moral aspects and decision-making capabilities of AI systems, along with the incorporation of ethical considerations and human values. Artificial Cognition: Analyzes the notion of machine learning and cognition, transparency within AI mechanisms, and the ethical implications of artificial minds. Artificial Sensations: Explores the development of AI systems capable of mimicking human senses and responses, using advanced materials and devices. Artificial Brain: Concludes with an investigation into mimicking human brain function within AI systems and the potential capacity for AI to evolve with environmental interaction. The work appears to be an exploration of the frontier where technology meets human cognition, emotion, and ethical considerations. The book may offer expertise in several domains, including AI algorithms, deep learning, neuromorphic computing, and the philosophical implications of imbuing AI with aspects of human consciousness. The manuscript's purpose is likely to probe the theoretical boundaries of AI and its future potential, as well as to identify and confront some of the ethical dilemmas that arise as AI systems become increasingly sophisticated. This preliminary review only scratches the surface of what the book contains. For a full review, including critical analysis and conclusions, it would be necessary to read the document in its entirety. If you have any specific areas you'd like me to focus on or if there are particular chapters you want to examine in more detail, please let me know.
Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa
Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Book Synopsis Intelligent Systems and Applications by : Kohei Arai
Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2020-08-06 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.
Book Synopsis Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI by : Satishkumar, D.
Download or read book Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.
Download or read book HRM 5.0 written by Toyin Ajibade Adisa and published by Springer Nature. This book was released on with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis MICAI 2002: Advances in Artificial Intelligence by : Carlos Coello Coello
Download or read book MICAI 2002: Advances in Artificial Intelligence written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2002-03-27 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Mexican International Conference on Artificial Intelligence, MICAI 2002, held in Mérida, Yucatán, Mexico in April 2002. The 56 revised full papers presented were carefully reviewed and selected from more than 85 submissions from 17 countries. The papers are organized in topical sections on robotics and computer vision, heuristic search and optimization, speech recognition and natural language processing, logic, neural networks, machine learning, multi-agent systems, uncertainty management, and AI tools and applications.
Book Synopsis Artificial Intelligence by : David L. Poole
Download or read book Artificial Intelligence written by David L. Poole and published by Cambridge University Press. This book was released on 2017-09-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren
Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering
Book Synopsis The Efficiency Paradox by : Edward Tenner
Download or read book The Efficiency Paradox written by Edward Tenner and published by Vintage. This book was released on 2019-03-05 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: A "skillful and lucid" (The Wall Street Journal) way of thinking about efficiency, challenging our obsession with it—and offering a new understanding of how to benefit from the powerful potential of serendipity. Algorithms, multitasking, the sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than we ever have before. There is no doubt that we're performing at higher levels and moving at unprecedented speed, but what if we're headed in the wrong direction? Melding the long-term history of technology with the latest headlines and findings of computer science and social science, The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of digital platforms can in fact lead to wasted efforts, missed opportunities, and, above all, an inability to break out of established patterns. Edward Tenner reveals what we and our institutions, when equipped with an astute combination of artificial intelligence and trained intuition, can learn from the random and unexpected.
Book Synopsis Recent Trends in Artificial Intelligence Towards a Smart World by : Rajeev Arya
Download or read book Recent Trends in Artificial Intelligence Towards a Smart World written by Rajeev Arya and published by Springer Nature. This book was released on with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Artificial and Human Intelligence in the Modern Era by : Rajest, S. Suman
Download or read book Advances in Artificial and Human Intelligence in the Modern Era written by Rajest, S. Suman and published by IGI Global. This book was released on 2023-09-11 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.
Book Synopsis Artificial Intelligence Tools by : Diego Galar Pascual
Download or read book Artificial Intelligence Tools written by Diego Galar Pascual and published by CRC Press. This book was released on 2015-04-22 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of e
Book Synopsis Predictive Maintenance for HVAC Systems: Leveraging Machine Learning for Optimal Performance by : Charles Nehme
Download or read book Predictive Maintenance for HVAC Systems: Leveraging Machine Learning for Optimal Performance written by Charles Nehme and published by Charles Nehme. This book was released on with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of heating, ventilation, and air conditioning (HVAC) systems has long been vital to ensuring comfort in residential, commercial, and industrial environments. However, as these systems grow in complexity and scale, so too does the challenge of maintaining them efficiently. Traditionally, HVAC systems have relied on reactive or time-based maintenance strategies that often result in unnecessary downtime, increased operational costs, and inefficient energy use. In an age where sustainability and cost-effectiveness are paramount, businesses and organizations are seeking smarter solutions. This is where machine learning (ML) enters the scene. Machine learning has revolutionized industries across the globe, from healthcare to finance. Its ability to analyze vast amounts of data and predict outcomes with precision offers HVAC systems the potential to leap from reactive maintenance strategies to predictive ones. Imagine a world where HVAC systems can detect a malfunction before it occurs, optimize their own performance, and ensure energy efficiency with minimal human intervention. This is the promise of predictive maintenance powered by machine learning. The goal of this book is to bridge the gap between two seemingly distinct worlds—HVAC maintenance and machine learning. By providing an in-depth exploration of how predictive models can be applied to HVAC systems, this book is designed for engineers, data scientists, HVAC professionals, and facility managers alike. Whether you're an experienced machine learning practitioner looking to understand the specific needs of HVAC systems, or an HVAC professional eager to learn how AI can revolutionize maintenance strategies, this book provides a roadmap for implementing predictive maintenance in real-world environments. In writing this book, I’ve drawn from a wide array of sources: industry best practices, academic research, and hands-on case studies of machine learning models applied in HVAC settings. You will learn not only the technical foundations of machine learning but also how to gather, clean, and preprocess HVAC data for predictive modeling, select appropriate algorithms, and deploy models in live systems. The book aims to demystify the technical aspects of predictive maintenance and show how it can be implemented at scale. With practical examples, industry use cases, and step-by-step guides, you’ll gain a deep understanding of the processes involved in transforming your HVAC maintenance strategy from reactive to predictive. As we venture into the era of smart buildings, energy efficiency, and self-optimizing systems, the integration of machine learning with HVAC systems will no longer be a luxury—it will be a necessity. By the end of this book, you’ll be equipped with the knowledge and tools to lead the charge in this transformation. Thank you for joining me on this journey into the future of HVAC maintenance. I hope this book empowers you to harness the potential of machine learning and usher in a new era of efficiency, reliability, and sustainability in HVAC systems.
Book Synopsis Progress in Artificial Intelligence by : Fernando Moura Pires
Download or read book Progress in Artificial Intelligence written by Fernando Moura Pires and published by Springer Science & Business Media. This book was released on 2003-11-24 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th Portuguese Conference on Artificial Intelligence, EPIA 2003, held in Beja, Portugal in December 2003. The 29 revised full papers and 20 revised short papers presented were carefully reviewed and selected from a total of 119 submissions. In accordance with the five constituting workshops, the papers are organized in topical sections on artificial life and evolutionary algorithms, constraint and logic programming systems, extraction of knowledge from databases, multi-agent systems and AI for the Internet, and natural language processing and text retrieval.
Book Synopsis Database Management using AI: A Comprehensive Guide by : A Purushotham Reddy
Download or read book Database Management using AI: A Comprehensive Guide written by A Purushotham Reddy and published by A Purushotham Reddy. This book was released on 2024-10-20 with total page 2066 pages. Available in PDF, EPUB and Kindle. Book excerpt: Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.
Book Synopsis Industrial Revolution and Metaverse: Industry 5.0 by : Dr. S. Manikandan
Download or read book Industrial Revolution and Metaverse: Industry 5.0 written by Dr. S. Manikandan and published by Quing Publications. This book was released on 2023-07-12 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Revolution and Metaverse: Industry 5.0 book chapter is constructed to provide various metaverse implementation stages and their applications. A metaverse can be any 3D virtual space powered by technologies – including virtual reality (VR), augmented reality (AR), artificial intelligence (AI), the Internet of Things (IoT), and blockchain – that allows people to interact with each other. According to current Industry 4.0 standards, Metaverse is the emerging research area to give various services to IT and ITeS. In this book chapter various real time applications are taken. A platform for augmented reality called Metaverse enables users to build interactive experiences that combine the virtual environment and the real world. Unlike the previous iterations of the internet, the metaverse will be built and owned primarily by its users and their user-generated content (UGC). Another prime example of real estate in the metaverse is SuperWorld, a virtual world where you can buy, sell, and collect plots of virtual land. In this book chapter various chapters are discussed based on current trends.
