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Author: Alf Hornborg
Publisher: Rowman Altamira
ISBN: 0759116911
Category : Social Science
Languages : en
Pages : 288
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Book Description
Hornborg argues that we are caught in a collective illusion about the nature of modern technology that prevents us from imagining solutions to our economic and environmental crises other than technocratic fixes. He demonstrates how the power of the machine generates increasingly asymmetrical exchanges and distribution of resources and risks between distant populations and ecosystems, and thus an increasingly polarized world order. The author challenges us to reconceptualize the machine—'industrial technomass'—as a species of power and a problem of culture. He shows how economic anthropology has the tools to deconstruct the concepts of production, money capital, and market exchange, and to analyze capital accumulation as a problem at the very interface of the natural and social sciences. His analysis provides an alternative understanding of economic growth and technological development. Hornborg's work is essential for researchers in anthropology, human ecology, economics, political economy, world-systems theory, environmental justice, and science and technology studies. Find out more about the author at the Lund University, Sweden web site.
Author: Alf Hornborg
Publisher: Rowman Altamira
ISBN: 0759116911
Category : Social Science
Languages : en
Pages : 288
Get Book Here
Book Description
Hornborg argues that we are caught in a collective illusion about the nature of modern technology that prevents us from imagining solutions to our economic and environmental crises other than technocratic fixes. He demonstrates how the power of the machine generates increasingly asymmetrical exchanges and distribution of resources and risks between distant populations and ecosystems, and thus an increasingly polarized world order. The author challenges us to reconceptualize the machine—'industrial technomass'—as a species of power and a problem of culture. He shows how economic anthropology has the tools to deconstruct the concepts of production, money capital, and market exchange, and to analyze capital accumulation as a problem at the very interface of the natural and social sciences. His analysis provides an alternative understanding of economic growth and technological development. Hornborg's work is essential for researchers in anthropology, human ecology, economics, political economy, world-systems theory, environmental justice, and science and technology studies. Find out more about the author at the Lund University, Sweden web site.
Author: Hubert Dreyfus
Publisher: Simon and Schuster
ISBN: 0743205510
Category : Philosophy
Languages : en
Pages : 256
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Book Description
Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms.
Author: Richard Yonck
Publisher: Arcade
ISBN: 195069111X
Category : Computers
Languages : en
Pages : 338
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Book Description
For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.
Author: Paul R. Daugherty
Publisher: Harvard Business Press
ISBN: 1633693872
Category : Computers
Languages : en
Pages : 268
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Book Description
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
Author: Brittany Ackerman
Publisher:
ISBN: 9781597096911
Category : BIOGRAPHY & AUTOBIOGRAPHY
Languages : en
Pages : 152
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Book Description
Inspired by a brother's high school science project--a perpetual motion machine that could save the world-- The Perpetual Motion Machine is a memoir in essays that attempts to save a sibling by depicting the visceral pain that accompanies longing for some past impossibility. The collection has been a science project in its study of memory, in the calculation and plotting of the moments that make up a childhood. The preparation has been "in the field" in that it is built upon the gathering of lived experience; the evidence is photo albums, family interviews, and anecdotes from friends. The project has been one giant experiment--to see if they can all make it out alive.
Author: Susan Steinberg
Publisher: Graywolf Press
ISBN: 1555978916
Category : Fiction
Languages : en
Pages : 130
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Book Description
A haunting story of guilt and blame in the wake of a drowning, the first novel by the author of Spectacle Susan Steinberg’s first novel, Machine, is a dazzling and innovative leap forward for a writer whose most recent book, Spectacle, gained her a rapturous following. Machine revolves around a group of teenagers—both locals and wealthy out-of-towners—during a single summer at the shore. Steinberg captures the pressures and demands of this world in a voice that effortlessly slides from collective to singular, as one girl recounts a night on which another girl drowned. Hoping to assuage her guilt and evade a similar fate, she pieces together the details of this tragedy, as well as the breakdown of her own family, and learns that no one, not even she, is blameless. A daring stylist, Steinberg contrasts semicolon-studded sentences with short lines that race down the page. This restless approach gains focus and power through a sharply drawn narrative that ferociously interrogates gender, class, privilege, and the disintegration of identity in the shadow of trauma. Machine is the kind of novel—relentless and bold—that only Susan Steinberg could have written.
Author: Lee Fang
Publisher: The New Press
ISBN: 1595586393
Category : Biography & Autobiography
Languages : en
Pages : 274
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Book Description
The Machine sheds light on all the dark corners of the resurgent right, laying out its modus operandi in short, accessible chapters.
Author: Justin Roff-Marsh
Publisher:
ISBN: 9781626342248
Category : Organizational change
Languages : en
Pages : 0
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Book Description
Brace yourself for plain talk about what's wrong with sales and marketing. Consultant Justin Roff-Marsh says that traditional approaches no longer work: inventories pile up; customers avoid visits from field salespeople; sales technology makes things worse; and commissions and bonuses drive salespeople to underperform. Roff-Marsh, a survivor of the hard-knocks world of sales, interlaces his old-school approach to leadership with a gentler understanding of human motivation. His examples, if sometimes strident, provide sound solutions. Even seasoned sellers, sales executives and CEOs will discover challenging new tactics and strategies for reinventing sales. getAbstract recommends Roff-Marsh's change-driven manual as an illuminating treatment of an alternative tactic for daring salespeople, sales managers, and senior leaders seeking an original and comprehensive sales strategy.
Author: Patrick Bangert
Publisher: Elsevier
ISBN: 0128226005
Category : Technology & Engineering
Languages : en
Pages : 276
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Book Description
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
Author: Derrick Jensen
Publisher: Chelsea Green Publishing
ISBN: 1931498520
Category : Computers
Languages : en
Pages : 298
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Book Description
Jensen and Draffan look at the way machine readable devices that track our identities and purchases have infiltrated our lives and have come to define our culture.
