AI Inference: Turning Dreams into Reality

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Publisher :
ISBN 13 :
Total Pages : 55 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI Inference: Turning Dreams into Reality by : M.B. Chatfield

Download or read book AI Inference: Turning Dreams into Reality written by M.B. Chatfield and published by . This book was released on with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of AI Inference to Make Your Ideas a Reality In a world brimming with possibilities, AI inference stands as a transformative force, empowering innovators to turn their dreams into reality. This book is your guide to harnessing the power of AI inference, equipping you with the knowledge and tools to: Translate your ideas into actionable AI solutions Leverage AI inference to solve real-world problems Develop innovative products and services powered by AI Navigate the ethical considerations of AI development Embrace the future of innovation with AI Whether you're an entrepreneur with a groundbreaking idea, a product designer seeking new possibilities, or simply someone fascinated by the potential of AI, this book will inspire and empower you to: Identify opportunities where AI inference can make a difference Learn the fundamental concepts of AI inference Explore practical applications of AI inference across industries Understand the technical aspects of AI inference models Get hands-on experience with AI inference tools and techniques Step into the future of innovation and transform your dreams into reality with the power of AI inference. #AIinference #MachineLearning #AI #FutureofTechnology #DataScience #ArtificialIntelligence #MachineLearningBook #AIbook #AIforBeginners #PredictiveAnalytics #AIInnovation #BigData #DeepLearning #TechTrends #DataDriven #LearnAI #AIApplications

Dreams of the Machine: AI's Visionary World

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Publisher : M.B. Chatfield
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4./5 ( download)

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Book Synopsis Dreams of the Machine: AI's Visionary World by : M.B. Chatfield

Download or read book Dreams of the Machine: AI's Visionary World written by M.B. Chatfield and published by M.B. Chatfield. This book was released on with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: What if AI could dream? Dreams of the Machine takes you on a journey into the visionary world of artificial intelligence, exploring the potential for AI to not only think and learn like humans, but to also experience emotions and creativity. Dreams of the Machine is a must-read for anyone interested in the future of AI and its potential to transform our world. Order Dreams of the Machine today and explore the future of AI!

An Introduction to Causal Inference

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781507894293
Total Pages : 0 pages
Book Rating : 4.8/5 (942 download)

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Book Synopsis An Introduction to Causal Inference by : Judea Pearl

Download or read book An Introduction to Causal Inference written by Judea Pearl and published by Createspace Independent Publishing Platform. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical foundation for the analysis of causes and counterfactuals. In particular, the paper surveys the development of mathematical tools for inferring (from a combination of data and assumptions) answers to three types of causal queries: (1) queries about the effects of potential interventions, (also called "causal effects" or "policy evaluation") (2) queries about probabilities of counterfactuals, (including assessment of "regret," "attribution" or "causes of effects") and (3) queries about direct and indirect effects (also known as "mediation"). Finally, the paper defines the formal and conceptual relationships between the structural and potential-outcome frameworks and presents tools for a symbiotic analysis that uses the strong features of both. The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation. -- p. 1.

AI-First Healthcare

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492063126
Total Pages : 222 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis AI-First Healthcare by : Kerrie L. Holley

Download or read book AI-First Healthcare written by Kerrie L. Holley and published by "O'Reilly Media, Inc.". This book was released on 2021-04-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application

The Last Invention

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Publisher : Weidenfeld & Nicolson
ISBN 13 : 9781474608787
Total Pages : 304 pages
Book Rating : 4.6/5 (87 download)

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Book Synopsis The Last Invention by : Tom Chivers

Download or read book The Last Invention written by Tom Chivers and published by Weidenfeld & Nicolson. This book was released on 2019-06-11 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'The AI does not hate you, nor does it love you, but you are made of atoms which it can use for something else' This is a book about AI and AI risk. But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it. Along the way, we discover why we probably don't need to worry about a future AI resurrecting a perfect copy of our minds and torturing us for not inventing it sooner, but we perhaps should be concerned about paperclips destroying life as we know it; how Mickey Mouse can teach us an important lesson about how to programme AI; and why Spock is not as logical as we think he is.

Infotrends

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Publisher : New York : Wiley
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.:/5 (45 download)

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Book Synopsis Infotrends by : Donald A. Marchand

Download or read book Infotrends written by Donald A. Marchand and published by New York : Wiley. This book was released on 1986 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to capitalizing on new information technologies. Surveys opportunities presented by changing trends in telecommunications and office automation technology, and cites examples of moneymaking ideas using a company's existing databases and expertise. Actual examples from companies like Sears, Du Pont, GM, and Federal Express. Offers a multitude of ideas that managers can use right away--from retraining employees using videodisks to letting customers tap into a company's database.

Oxford Handbook of Ethics of AI

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Publisher : Oxford University Press
ISBN 13 : 0190067411
Total Pages : 1000 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber

Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

Artificial Intelligence in the Age of Neural Networks and Brain Computing

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Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma

Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

Elements of Causal Inference

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Publisher : MIT Press
ISBN 13 : 0262037319
Total Pages : 289 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Elements of Causal Inference by : Jonas Peters

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Deus Ex Machina Sapiens

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Publisher : Elysian Detroit
ISBN 13 : 0615401368
Total Pages : 205 pages
Book Rating : 4.6/5 (154 download)

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Book Synopsis Deus Ex Machina Sapiens by : David Ellis

Download or read book Deus Ex Machina Sapiens written by David Ellis and published by Elysian Detroit. This book was released on 2011 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Watson's win on Jeopardy came as no surprise to those who had read Deus ex Machina sapiens. It was written largely during the 1990s, around the time that another IBM supercomputer--Deep Blue--was trouncing world chess grandmaster Garry Kasparov. The book has since been updated on a few points of detail but its primary message remains intact: the Machine is rapidly evolving as Man's rival if not replacement for the job of Steward of the Earth. Building upon the work of some of the world's greatest scientists, philosophers, and religious thinkers, and drawing particularly from developments in the computing and cognitive sciences--particularly, the field of artificial intelligence, or AI--the book reveals the evolutionary emergence of a machine that is not just intelligent but also self-conscious, emotional, and free-willed. In the 1980s and '90s you used to hear grandiose claims about AI. Machines would soon surpass humans in intelligence, it was claimed by some. The Japanese government spent a billion dollars on one project to make it happen. Well, it didn't happen, but that didn't stop the development of intelligence in machines. AI research simply went underground, and has ever since been quietly incorporated into the "ordinary" programs we use every day, without fanfare, without hype. There is still no machine that rivals Homo sapiens in overall intelligence, but today there are machines that far exceed human intellectual capacity in specific domains, from games to engineering to art, and the number of domains is growing exponentially big and exponentially fast. The disappearance of AI from front stage was good insofar as it allowed machines to develop in the right way; that is, through an evolutionary process, which is the only way for something of such complexity to develop. But it was bad insofar as we lost sight of the development of the intelligent machine. Deus brings Machina sapiens back to front stage, where it belongs. After describing the evolutionary development of intelligence in machines it goes on to describe the emotional, intellectual, and ethical attributes of what is no less than an emergent new life form. It asks the Big Question that can only be asked if you accept the very possibility of the new life form: Will it be serpent or savior? The question is answered in the book's title, which is intended to mean "God Emerging From the Intelligent Machine." The author confesses to having never studied Latin and to have concocted the title from two known Latin phrases: "Deus ex Machina" and "Homo sapiens." The concoction could be grammatically incorrect. The author would be pleased to be corrected.

Precision Medicine and Artificial Intelligence

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Publisher : Academic Press
ISBN 13 : 032385432X
Total Pages : 300 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Precision Medicine and Artificial Intelligence by : Michael Mahler

Download or read book Precision Medicine and Artificial Intelligence written by Michael Mahler and published by Academic Press. This book was released on 2021-03-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Spying on My Dreams

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Publisher :
ISBN 13 : 9780887392795
Total Pages : 372 pages
Book Rating : 4.3/5 (927 download)

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Book Synopsis Spying on My Dreams by : Laurence Howard

Download or read book Spying on My Dreams written by Laurence Howard and published by . This book was released on 2000-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rudy Boheman leads a normal life, caught in a mid-life squeeze between his job limitations, his unrealized dream to sing opera, and the persistent desire of his younger wife Mimi, who's hearing her biological clock ticking ever louder. As Rudy approaches his forty-ninth birthday, he struggles to reconcile both the sublime and the mundane in his world, and finds, if not the meaning of life, then the meaning of his life.

Natural General Intelligence

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Publisher : Oxford University Press
ISBN 13 : 0192843885
Total Pages : 353 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Natural General Intelligence by : Christopher Summerfield

Download or read book Natural General Intelligence written by Christopher Summerfield and published by Oxford University Press. This book was released on 2023-03-29 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of natural intelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptual issues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about the nature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains.

AI and education

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Publisher : UNESCO Publishing
ISBN 13 : 9231004476
Total Pages : 50 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis AI and education by : Miao, Fengchun

Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Artificial Dreams

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Publisher : Cambridge University Press
ISBN 13 : 9780521703390
Total Pages : 0 pages
Book Rating : 4.7/5 (33 download)

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Book Synopsis Artificial Dreams by : H. R. Ekbia

Download or read book Artificial Dreams written by H. R. Ekbia and published by Cambridge University Press. This book was released on 2008-04-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science - it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those "AI dreams" that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.

The Alignment Problem: Machine Learning and Human Values

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Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian

Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

Engineering

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Publisher :
ISBN 13 :
Total Pages : 662 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Engineering by :

Download or read book Engineering written by and published by . This book was released on 1879 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: