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.

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.

By far the most important single factor in world history has been the process of technological revolution whereby small-scale agricultural societies have been transformed into massive industrialized and urbanized communities. This development has occurred over a long period of time, but its greatest thrust has been concentrated over the last two centuries, beginning in the West, in Europe and North America, and then spreading through the rest of the world. The author systematically analyses this process, showing how increasing mastery over sources of power provided increased industrial and agricultural productivity, and created radically new methods of transport and communication. He then examines the impact of these technical achievements on society, paying special attention to the political and ecological consequences of a vastly increased world population, the facilities for rapid transport and instantaneous communication, and the possession of weapons of immense destructive force.

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.

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

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.

The Machine sheds light on all the dark corners of the resurgent right, laying out its modus operandi in short, accessible chapters.

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.

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.

This book looks at Wall Street wonders Warren Buffet, Benjamin Graham, and other legends and shares how you can utilize their secrets to unimaginable success! It’s time to put your money to work the smart way and stop chasing quick payoffs that never turn out. That seductive stock tip you just overheard? That’s your ticket to flushing your savings down the toilet. The story you saw on a promising new product? Only those who invested before the story came out have any chance of a solid payout. If you want to succeed in the market, you need to learn how to invest based on value, selecting stocks that will continue to enrich you for years to come. By learning the keys to value investing, Money Machine will teach you how to: Judge a stock by the cash it generates Determine the stock’s intrinsic value Use key investment benchmarks such as price-earnings ratio and dividend-price ratio Recognize stock market bubbles and profit from panics Avoid psychological traps that can trip you up Investing in the market doesn’t have to be reckless speculation. Invest in value, not ventures, and find the financial success all those gamblers are still looking for!