Technical Innovation in American History: An Encyclopedia of Science and Technology [3 volumes]

Author: Rosanne Welch,Peg A. Lamphier

Publisher: ABC-CLIO

ISBN: 161069094X

Category: History

Page: 1082

View: 636

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From the invention of eyeglasses to the Internet, this three-volume set examines the pivotal effects that inventions have had on society, providing a fascinating history of technology and innovations in the United States from the earliest colonization by Europeans to the present. • Encourages readers to consider the tremendous potential impact of advances in science and technology and the ramifications of important inventions on the global market, human society, and even the planet as a whole • Supports eras addressed in the National Standards for American history as well as curricular units on inventions, discoveries, and technological advances • Includes primary documents, a chronology, and section openers that help readers contextualize the content
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Robot Memetics

A Space Exploration Perspective

Author: Walt Truszkowski

Publisher: Springer Nature

ISBN: 3030379523

Category:

Page: N.A

View: 3374

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Against Automation Mythologies

Business Science Fiction and the Ruse of the Robots

Author: J. Jesse Ramirez

Publisher: Routledge

ISBN: 1000169618

Category: Social Science

Page: 106

View: 5625

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Inspired by Roland Barthes’s practice of "semioclasm" in Mythologies, this book offers a "technoclasm"; a cultural critique of US narratives, discourses, images, and objects that have transformed the politics of automation into statements of fact about the "rise of the robots". Treating automation as an ensemble of technologies and science fictions, this book foregrounds automation’s ideologies, exaggerations, failures, and mystifications of the social value of human labor in order to question accepted and prolific automation mythologies. Jesse Ramirez offers a study of automation that recognizes automation as a technosocial project, that uses the tools of cultural studies and history to investigate the narratives and ideologies that often implicitly frame the automation debate, and that concretely and soberly assesses the technologies that have made the headlines. The case studies featured include some of the most widely cited and celebrated automatic technologies, such as the Baxter industrial robot, the self-driving car, and the Watson AI system. An ideal resource for anyone interested in or studying emerging technology and society, automation, Marxian cultural theory, cultural studies, science fiction studies, and the cultural history of technology.
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3D Printing

Author: John M. Jordan

Publisher: MIT Press

ISBN: 0262536684

Category: Technology & Engineering

Page: 240

View: 8671

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An accessible introduction to 3D printing that outlines the additive manufacturing process, industrial and household markets, and emerging uses. The use of 3D printing—digitally controlled additive manufacturing—is growing rapidly. Consumer models of 3D printers allow people to fabricate small plastic objects, from cabinet knobs to wedding cake toppers. Industrial uses are becoming widespread, as businesses use the technology to fabricate prototypes, spare parts, custom-fitted prosthetics, and other plastic or metal items, often at lower cost and with greater efficiency than standard manufacturing. In this volume in the MIT Press Essential Knowledge series, John Jordan offers an accessible introduction to 3D printing, describing the printing process, industrial and household markets, and emerging uses. Jordan outlines the stages of 3D printing, from idea to software model to a printable file that slices the planned object into printable layers to the finished object itself. He describes additive technologies, consumer 3D printing in homes and schools, mass customization (which can create tens of millions of unique items), and industrial uses. Jordan explains that although 3D printers have not become the ubiquitous home appliance once predicted, they are making inroads into mass markets; and he discusses the business factors that may hinder industry adoption of 3D printing technologies. He considers the possible unintended consequences of 3D printing on jobs, as companies scramble to find employees with an uncommon skill set; on business models and supply chains, as manufacturing is decentralized; and on patent law, as machines can be programmed to copy protected property. Finally, Jordan looks at new and emerging uses, including bioprinting, building construction, and micromachines.
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Robots

Author: John M. Jordan

Publisher: MIT Press

ISBN: 0262529505

Category: Technology & Engineering

Page: 272

View: 6612

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An accessible and engaging account of robots, covering the current state of the field, the fantasies of popular culture, and implications for life and work.
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The Internet of Things

Author: Samuel Greengard

Publisher: MIT Press

ISBN: 0262527731

Category: Computers

Page: 232

View: 9455

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A guided tour through the Internet of Things, a networked world of connected devices, objects, and people that is changing the way we live and work.
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New Top Technologies Every Librarian Needs to Know

A LITA Guide

Author: Kenneth J. Varnum

Publisher: American Library Association

ISBN: 0838917828

Category: Language Arts & Disciplines

Page: 304

View: 6705

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The time is right for this all-new survey of the library technology that’s already transitioning from trend to everyday reality. As in the previous best-selling volume, Varnum and his contributors throw the spotlight on the systems, software, and approaches most crucial to the knowledge institutions of tomorrow. Inside, readers will find concise information and analysis on topics such as mobile technologies; privacy-protection technology tools; the Internet of Things (IoT); virtual reality; bots and automation; machine learning applications for libraries; libraries as digital humanities enablers; visualizations in discovery systems; linked open data; embeddedness and Learning Tools Interoperability (LTI); special collections and digital publishing; link rot, web archiving, and the future of the Distributed Web; and digital repositories. Sure to spark discussions about library innovation, this collection is a must have for staff interested in technology or involved with strategic planning.
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Machine Learning

The New AI

Author: Ethem Alpaydin

Publisher: MIT Press

ISBN: 0262529513

Category: Computers

Page: 224

View: 689

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A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.
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Introduction to Machine Learning

Author: Ethem Alpaydin

Publisher: MIT Press

ISBN: 0262303264

Category: Computers

Page: 584

View: 1054

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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.
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Understanding Beliefs

Author: Nils J. Nilsson

Publisher: MIT Press

ISBN: 0262526433

Category: Computers

Page: 168

View: 890

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Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples. But so are theories about astrology, alien abduction, guardian angels, and reincarnation. All are products (with varying degrees of credibility) of fertile minds trying to find explanations for observed phenomena. In this book, Nils Nilsson examines beliefs: what they do for us, how we come to hold them, and how to evaluate them. We should evaluate our beliefs carefully, Nilsson points out, because they influence so many of our actions and decisions. Some of our beliefs are more strongly held than others, but all should be considered tentative and changeable. Nilsson shows that beliefs can be quantified by probability, and he describes networks of beliefs in which the probabilities of some beliefs affect the probabilities of others. He argues that we can evaluate our beliefs by adapting some of the practices of the scientific method and by consulting expert opinion. And he warns us about "belief traps" -- holding onto beliefs that wouldn't survive critical evaluation. The best way to escape belief traps, he writes, is to expose our beliefs to the reasoned criticism of others.
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