Taming the Machine

Taming the Machine
Author: Nell Watson
Publisher: Kogan Page Publishers
Total Pages: 337
Release: 2024-05-03
Genre: Computers
ISBN: 1398614335

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AI promises to transform our world, supercharging productivity and driving new innovations. Taming the Machine uncovers how you can responsibly harness the power of AI with confidence. AI has the potential to become a personal assistant, a creative partner, an editor and a research tool all at once. But it also represents a threat to your livelihood, data and privacy. Taming the Machine offers the practical insights and knowledge you need to work with AI with an ethical and responsible approach. In this book, celebrated AI expert and ethicist Nell Watson offers practical insights on how you can ethically innovate with AI. It delves into the ethical issues of unbridled AI, highlighting the challenges that it will bring to society and business unless we fortify cybersecurity, safeguard our data, and understand the dangerous potential of artificial intelligence. Step into the future and supercharge your performance safely by Taming the Machine.

Taming the Machine

Taming the Machine
Author: Nell Watson
Publisher: Kogan Page
Total Pages: 0
Release: 2024-03-26
Genre: Business & Economics
ISBN: 9781398614321

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AI has huge potential to improve our productivity and innovation at work. Taming the Machine uncovers how you can tap into AI's full potential, uncovering the mechanisms and ethics behind this technology. This book uncovers how AI can become your personal assistant, a creative spark, an editor and a research tool all at once. It uncovers the untapped potential of AI tools and platforms that will allow you to dramatically improve your work performance and productivity. Written by a world-class AI expert and ethicist, the book also explores the mechanisms and future potential of AI. Drawing upon interviews with global experts, it delves into the ethical questions and uncovers how AI technologies can develop without negatively impacting our culture and society. Step into the future and supercharge your working life by Taming the Machine.

Monster

Monster
Author: Paul Roehrig
Publisher: John Wiley & Sons
Total Pages: 176
Release: 2021-03-10
Genre: Business & Economics
ISBN: 1119785928

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"In their 'deliberately short book' IT analysts, management consultants and technology practitioners Roehrig and Pring explore how big a beast technology has become, and how we can tame it to maintain our freedom and privacy while still realising its benefits. The pandemic has shown just how much we rely on technology and how addictive it has become...The authors address the important questions...[and] urge us not to slay the monster but rather to leverage its power and reorient technology as a tool for good." —Financial Times Monster explains how we can responsibly engage with technology, and avoid its darker tendencies, while accepting its necessary gifts. The authors, insiders at one of the world's largest tech consulting firms, give a unique take on: The addictive nature of tech and how to fight it The growing backlash against big tech--where it's right and what it misses Crucial steps for taming technology's role in your life and in your organization--without becoming a modern Luddite Written for managers, leaders, and employees at companies of all sizes and in all industries, Monster will help you understand and take control of technology's powerful role in your life and your organization. "You must read this book." —Michael Schrage, Research Fellow, MIT Sloan School Initiative on the Digital Economy "Pithy insights and recommendations on helping tech fulfill its potential as a force for good." —Erik Brynjolfsson, Director of the Stanford Digital Economy Lab and co-author of The Second Machine Age "Making technology serve—not subvert—the public interest requires better leaders, not more engineers and coders. Monster explains how to become one of those leaders." —Rosabeth Moss Kanter, Harvard Business School Professor and author of Think Outside the Building "A bracing new book about some of the most pressing questions of our time." —Carl Benedikt Frey, Oxford Martin Citi Fellow at Oxford University and author of The Technology Trap "Provocative and concise, Monster is an important book on rescuing ourselves from technology that now feels corrosive and overwhelming." —Daniel H. Pink, author of WHEN, DRIVE, and TO SELL IS HUMAN "Clarifies a complex web of issues and provides bold steps for a healthier economy, society, and future." —Francisco D'Souza, former CEO and Vice Chairman of Cognizant "Sheds light on how we can collectively use technology for the good of all." —Soumitra Dutta, Founding Dean, SC Johnson College of Business, Cornell University "A cornucopia of pragmatic, actionable, and bold ideas." —Gary J. Beach, Publisher Emeritus, CIO magazine and author of U.S. Technology Skills Gap

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Author: Thomas Duriez
Publisher: Springer
Total Pages: 229
Release: 2016-11-02
Genre: Technology & Engineering
ISBN: 3319406248

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This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

Wilma Jean the Worry Machine

Wilma Jean the Worry Machine
Author: Julia Cook
Publisher: National Center for Youth Issues
Total Pages: 33
Release: 2012-01-15
Genre: Juvenile Fiction
ISBN: 1937870898

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"My stomach feels like it's tied up in a knot. My knees lock up, and my face feels hot. You know what I mean? I'm Wilma Jean, The Worry Machine." Anxiety is a subjective sense of worry, apprehension, and/or fear. It is considered to be the number one health problem in America. Although quite common, anxiety disorders in children are often misdiagnosed and overlooked. Everyone feels fear, worry and apprehension from time to time, but when these feelings prevent a person from doing what he/she wants and/or needs to do, anxiety becomes a disability. This fun and humorous book addresses the problem of anxiety in a way that relates to children of all ages. It offers creative strategies for parents and teachers to use that can lessen the severity of anxiety. The goal of the book is to give children the tools needed to feel more in control of their anxiety. For those worries that are not in anyone's control (i.e. the weather) a worry hat is introduced. A fun read for Wilmas of all ages! Includes a note to parents and educators with tips on dealing with an anxious child.

Taming Text

Taming Text
Author: Grant Ingersoll
Publisher: Simon and Schuster
Total Pages: 467
Release: 2012-12-20
Genre: Computers
ISBN: 1638353867

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Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier

Taming HAL

Taming HAL
Author: A. Degani
Publisher: Springer
Total Pages: 315
Release: 2004-02-12
Genre: Technology & Engineering
ISBN: 140398252X

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This book is an exploration of interaction between humans, computers and automated machines and why they frequently go awry, sometimes with disastrous consequences. The book lays out a clear foundation for evaluating interactions between users and machines, showing the reader how to describe, analyze and quickly identify potential design problems. The insights and methodologies provided allow the reader to understand the root human-interaction problems in modern systems, improve the usability of new user interfaces, and, the author hopes, have a say in the design of the highly automated systems of the future.

Machine Learners

Machine Learners
Author: Adrian Mackenzie
Publisher: MIT Press
Total Pages: 269
Release: 2017-11-16
Genre: Social Science
ISBN: 0262036827

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If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

Taming Our Machines

Taming Our Machines
Author: Ralph Edward Flanders
Publisher:
Total Pages: 262
Release: 1931
Genre: Economics
ISBN:

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Between Human and Machine

Between Human and Machine
Author: David A. Mindell
Publisher: JHU Press
Total Pages: 476
Release: 2002-10-11
Genre: Computers
ISBN: 9780801868955

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Mindell ponders the orgin of cybernetics beyond Norbert Wiener's 1948 hypothesis. Mindell returns to the time between the World Wars, when four disparate computing research cultures thrived in the United States: the U.S. Navy, the Sperry Gyroscope Company, the Bell Telephone Laboratories, and Vannevar Bush's laboratory at MIT. In each culture, different technical problems, organizational imperatives, and working evironment existed, but they were all researching control, communications, and computing. When President Roosevelt synthesized the four engineering cultures into a representative government committee, they suffused engineering research with good principles and later made it possible for Norbert Wiener's 1948 formulation of cybernetics.