• Gears of War: Bloodlines by Jason M. Hough

    Free downloadable pdf e books Gears of War: Bloodlines ePub 9781789094787


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    • Gears of War: Bloodlines
    • Jason M. Hough
    • Page: 464
    • Format: pdf, ePub, mobi, fb2
    • ISBN: 9781789094787
    • Publisher: Titan

     

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    The new novel set within the action of the Xbox Game Studios video game Gears 5, by New York Times bestselling author Jason Hough. THE OFFICIAL TIE-IN TO THE EXCITING VIDEO GAMES GEARS 5 AND GEARS TACTICS In the aftermath of Settlement 2's destruction, Kait Diaz reels from the near loss of a close friend amid utter defeat at the hands of the Swarm. To move forward, she must choose either to walk the Outsider path of her mother, or rise to her beckoning duty as a Gear, as her father did. As Kait grapples with her circumstance, an unexpected ally illuminates secrets from the past that offer a new perspective. Over four decades before, the two superpowers of Sera - the Coalition of Ordered Governments, and the Union of Independent Republics - wage a bitter, worldwide conflict known as the Pendulum Wars. For nearly a century, the two have fought to wrest control over Sera's most precious energy resource: Imulsion. On the 79th year of the Pendulum Wars, Gabriel Diaz is a decorated Lieutenant Colonel serving the Coalition, assigned to Vectes Naval Base - a fortress that's seen little action despite its close proximity to UIR territory. The island's relative quiet is disturbed when a COG special forces team known as Ghost Squad arrive with a mysterious mission to the nearby island of Knifespire: an unforgiving rock of seemingly no strategic value. When the Ghosts send out a distress call, it's up to Gabe to evacuate them - and what he discovers on Knifespire could change the very course of the Pendulum Wars. There, the Battle of Gatka Ridge will define Gabe's legacy, and shape the future of his daughter, Kait Diaz.



     

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  • Total Eclipse of the Eternal Heart. Syundei

     

    Total Eclipse of the Eternal Heart

     


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    ISBN: 9781642750409 | 180 pages | 5 Mb
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    • Total Eclipse of the Eternal Heart
    • Syundei
    • Page: 180
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9781642750409
    • Publisher: Seven Seas Entertainment LLC

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  • The Lines We Cross. Randa Abdel-Fattah

     

    The Lines We Cross

     


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    ISBN: 9781338282054 | 400 pages | 10 Mb
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    • The Lines We Cross
    • Randa Abdel-Fattah
    • Page: 400
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    • ISBN: 9781338282054
    • Publisher: Scholastic, Inc.

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  • The Deep Learning Revolution. Terrence J. Sejnowski

    The Deep Learning Revolution


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    ISBN: 9780262038034 | 352 pages | 9 Mb

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    • The Deep Learning Revolution
    • Terrence J. Sejnowski
    • Page: 352
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9780262038034
    • Publisher: MIT Press
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    The Deep Learning Revolution by Terrence J. Sejnowski How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.



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  • Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Virginia Eubanks

    Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor


    Automating-Inequality.pdf
    ISBN: 9781250215789 | 288 pages | 8 Mb

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    • Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
    • Virginia Eubanks
    • Page: 288
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9781250215789
    • Publisher: Picador
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    WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.



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