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Prediction Machines
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Author : Ajay Agrawal
language : en
Publisher: Harvard Business Press
Release Date : 2018-04-17
Prediction Machines written by Ajay Agrawal and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-17 with Computers categories.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
Prediction Machines Updated And Expanded
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Author : Ajay Agrawal
language : en
Publisher: Harvard Business Press
Release Date : 2022-11-15
Prediction Machines Updated And Expanded written by Ajay Agrawal and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Business & Economics categories.
Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs. In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity—operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.
Summary Of Ajay Agrawal Joshua Gans Avi Goldfarb S Prediction Machines
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Author : Everest Media,
language : en
Publisher: Everest Media LLC
Release Date : 2022-06-10T22:59:00Z
Summary Of Ajay Agrawal Joshua Gans Avi Goldfarb S Prediction Machines written by Everest Media, and has been published by Everest Media LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10T22:59:00Z with Computers categories.
Please note: This is a companion version & not the original book. Sample Book Insights: #1 AI is everywhere. It is in our phones, cars, shopping experiences, romantic matchmaking, hospitals, banks, and all over the media. No wonder corporate directors, CEOs, vice presidents, managers, team leaders, and entrepreneurs are anxiously racing to learn about AI: it is about to fundamentally change their businesses. #2 The new wave of artificial intelligence does not bring us intelligence, but rather a critical component of intelligence: prediction. Each startup in our lab is based on the benefits of better prediction. We provide you with an understanding of AI’s impact on management and decisions, as well as on the economy. #3 Prediction Machines is not a recipe for success in the AI economy. Instead, it emphasizes trade-offs. More data means less privacy. More speed means less accuracy. More autonomy means less control. #4 The current wave of advances in artificial intelligence doesn’t actually bring us intelligence, but instead a critical component of intelligence: prediction. Prediction is a central input into decision-making.
Power And Prediction
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Author : Ajay Agrawal
language : en
Publisher: Harvard Business Press
Release Date : 2022-11-15
Power And Prediction written by Ajay Agrawal and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Business & Economics categories.
Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare. Artificial intelligence (AI) has impacted many industries around the world—banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption. What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions. This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time—many industries are in the quiet before the storm—but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions. Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.
Computer Architecture Mcq Pdf Questions And Answers Download Cs Mcqs Book
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Author : Arshad Iqbal
language : en
Publisher: Bushra Arshad
Release Date : 2019-06-14
Computer Architecture Mcq Pdf Questions And Answers Download Cs Mcqs Book written by Arshad Iqbal and has been published by Bushra Arshad this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Computers categories.
The Book Computer Architecture Multiple Choice Questions (MCQ Quiz) with Answers PDF Download (CS PDF Book): MCQ Questions Chapter 1-21 & Practice Tests with Answer Key (Computer Architecture Textbook MCQs, Notes & Question Bank) includes revision guide for problem solving with hundreds of solved MCQs. Computer Architecture MCQ with Answers PDF book covers basic concepts, analytical and practical assessment tests. "Computer Architecture MCQ" Book PDF helps to practice test questions from exam prep notes. The eBook Computer Architecture MCQs with Answers PDF includes revision guide with verbal, quantitative, and analytical past papers, solved MCQs. Computer Architecture Multiple Choice Questions and Answers (MCQs) PDF Download, an eBook covers solved quiz questions and answers on chapters: Assessing computer performance, computer architecture and organization, computer arithmetic, computer language and instructions, computer memory review, computer technology, data level parallelism and GPU architecture, embedded systems, exploiting memory, instruction level parallelism, instruction set principles, interconnection networks, memory hierarchy design, networks, storage and peripherals, pipelining in computer architecture, pipelining performance, processor datapath and control, quantitative design and analysis, request level and data level parallelism, storage systems, thread level parallelism tests for college and university revision guide. Computer Architecture Quiz Questions and Answers PDF Download, free eBook’s sample covers beginner's solved questions, textbook's study notes to practice online tests. The Book Computer Architecture MCQs Chapter 1-21 PDF includes CS question papers to review practice tests for exams. Computer Architecture Multiple Choice Questions (MCQ) with Answers PDF digital edition eBook, a study guide with textbook chapters' tests for NEET/Jobs/Entry Level competitive exam. Computer Architecture Practice Tests Chapter 1-21 eBook covers problem solving exam tests from computer science textbook and practical eBook chapter wise as: Chapter 1: Assessing Computer Performance MCQ Chapter 2: Computer Architecture and Organization MCQ Chapter 3: Computer Arithmetic MCQ Chapter 4: Computer Language and Instructions MCQ Chapter 5: Computer Memory Review MCQ Chapter 6: Computer Technology MCQ Chapter 7: Data Level Parallelism and GPU Architecture MCQ Chapter 8: Embedded Systems MCQ Chapter 9: Exploiting Memory MCQ Chapter 10: Instruction Level Parallelism MCQ Chapter 11: Instruction Set Principles MCQ Chapter 12: Interconnection Networks MCQ Chapter 13: Memory Hierarchy Design MCQ Chapter 14: Networks, Storage and Peripherals MCQ Chapter 15: Pipelining in Computer Architecture MCQ Chapter 16: Pipelining Performance MCQ Chapter 17: Processor Datapath and Control MCQ Chapter 18: Quantitative Design and Analysis MCQ Chapter 19: Request Level and Data Level Parallelism MCQ Chapter 20: Storage Systems MCQ Chapter 21: Thread Level Parallelism MCQ The e-Book Assessing Computer Performance MCQs PDF, chapter 1 practice test to solve MCQ questions: Introduction to computer performance, CPU performance, and two spec benchmark test. The e-Book Computer Architecture and Organization MCQs PDF, chapter 2 practice test to solve MCQ questions: Encoding an instruction set, instruction set operations, and role of compilers. The e-Book Computer Arithmetic MCQs PDF, chapter 3 practice test to solve MCQ questions: Addition and subtraction, division calculations, floating point, ia-32 3-7 floating number, multiplication calculations, signed, and unsigned numbers. The e-Book Computer Language and Instructions MCQs PDF, chapter 4 practice test to solve MCQ questions: Computer instructions representations, 32 bits MIPS addressing, arrays and pointers, compiler optimization, computer architecture, computer code, computer hardware operands, computer hardware operations, computer hardware procedures, IA 32 instructions, logical instructions, logical operations, MIPS fields, program translation, sorting program. The e-Book Computer Memory Review MCQs PDF, chapter 5 practice test to solve MCQ questions: Memory hierarchy review, memory technology review, virtual memory, how virtual memory works, basic cache optimization methods, cache optimization techniques, caches performance, computer architecture, and six basic cache optimizations. The e-Book Computer Technology MCQs PDF, chapter 6 practice test to solve MCQ questions: Introduction to computer technology, and computer instructions and languages. The e-Book Data Level Parallelism and GPU Architecture MCQs PDF, chapter 7 practice test to solve MCQ questions: Loop level parallelism detection, architectural design vectors, GPU architecture issues, GPU computing, graphics processing units, SIMD instruction set extensions, and vector architecture design. 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An Introductory Guide To Artificial Intelligence For Legal Professionals
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Author : Juan Pavón
language : en
Publisher: Kluwer Law International B.V.
Release Date : 2020-05-14
An Introductory Guide To Artificial Intelligence For Legal Professionals written by Juan Pavón and has been published by Kluwer Law International B.V. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-14 with Law categories.
The availability of very large data sets and the increase in computing power to process them has led to a renewed intensity in corporate and governmental use of Artificial Intelligence (AI) technologies. This groundbreaking book, the first devoted entirely to the growing presence of AI in the legal profession, responds to the necessity of building up a discipline that due to its novelty requires the pooling of knowledge and experiences of well-respected experts in the AI field, taking into account the impact of AI on the law and legal practice. Essays by internationally known expert authors introduce the essentials of AI in a straightforward and intelligible style, offering jurists as many practical examples and business cases as possible so that they are able to understand the real application of this technology and its impact on their jobs and lives. Elements of the analysis include the following: crucial terms: natural language processing, machine learning and deep learning; regulations in force in major jurisdictions; ethical and social issues; labour and employment issues, including the impact that robots have on employment; prediction of outcome in the legal field (judicial proceedings, patent granting, etc.); massive analysis of documents and identification of patterns from which to derive conclusions; AI and taxation; issues of competition and intellectual property; liability and responsibility of intelligent systems; AI and cybersecurity; AI and data protection; impact on state tax revenues; use of autonomous killer robots in the military; challenges related to privacy; the need to embrace transparency and sustainability; pressure brought by clients on prices; minority languages and AI; danger that the existing gap between large and small businesses will further increase; how to avoid algorithmic biases when AI decides; AI application to due diligence; AI and non-disclosure agreements; and the role of chatbots. Interviews with pioneers in the field are included, so readers get insights into the issues that people are dealing with in day-to-day actualities. Whether conceiving AI as a transformative technology of the labour market and training or an economic and business sector in need of legal advice, this introduction to AI will help practitioners in tax law, labour law, competition law and intellectual property law understand what AI is, what it serves, what is the state of the art and the potential of this technology, how they can benefit from its advantages and what are the risks it presents. As the global economy continues to suffer the repercussions of a framework that was previously fundamentally self-regulatory, policymakers will recognize the urgent need to formulate rules to properly manage the future of AI.
Hello World
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Author : Hannah Fry
language : en
Publisher: Random House
Release Date : 2018-09-06
Hello World written by Hannah Fry and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Science categories.
'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm? An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye before passing sentence. Welcome to the age of the algorithm, the story of a not-too-distant future where machines rule supreme, making important decisions - in healthcare, transport, finance, security, what we watch, where we go even who we send to prison. So how much should we rely on them? What kind of future do we want? Hannah Fry takes us on a tour of the good, the bad and the downright ugly of the algorithms that surround us. In Hello World she lifts the lid on their inner workings, demonstrates their power, exposes their limitations, and examines whether they really are an improvement on the humans they are replacing. A BBC RADIO 4: BOOK OF THE WEEK SHORTLISTED FOR THE 2018 BAILLIE GIFFORD PRIZE AND 2018 ROYAL SOCIETY SCIENCE BOOK PRIZE
Digitalization And Big Data For Resilience And Economic Intelligence
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Author : Alina Mihaela Dima
language : en
Publisher: Springer Nature
Release Date : 2022-03-05
Digitalization And Big Data For Resilience And Economic Intelligence written by Alina Mihaela Dima and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-05 with Business & Economics categories.
This book highlights the economic and social science perspectives in light of COVID-19. During 2020, leaders found themselves at historic crossroads, taking decisions under remarkable pressures and uncertainties. However, windows of opportunity are being created to shape the economic recovery, restore the health of the environment, develop sustainable business models, strengthen regional development, revitalize global cooperation, harness Industry 4.0, and redesign the social contracts, skills, and jobs. This book is an excellent resource for all those interested in economics and social sciences perspectives on digitalization and big data, especially in the light of the recent crisis determined by COVID-19. The chapters cover topics related to new models in entrepreneurship and innovation, sustainability and education, data science and digitalization, marketing and finance, etc., that will develop innovative instruments for countries, businesses, and education to revive after the crisis.
Computational Intelligent Security In Wireless Communications
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Author : Suhel Ahmed Khan
language : en
Publisher: CRC Press
Release Date : 2022-09-21
Computational Intelligent Security In Wireless Communications written by Suhel Ahmed Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Technology & Engineering categories.
Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security. It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval. The book- Discusses computational algorithms for system modeling and optimization in security perspective. Focuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologies. Explores a group of practical research problems where security experts can help develop new data-driven methodologies. Covers application on artificial intelligence and wireless communication security risk perspective The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Nature Inspired Methods For Smart Healthcare Systems And Medical Data
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Author : Ahmed M. Anter
language : en
Publisher: Springer Nature
Release Date : 2024-01-02
Nature Inspired Methods For Smart Healthcare Systems And Medical Data written by Ahmed M. Anter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-02 with Medical categories.
This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.