It’s not just that the grid has grown old and is now in dire need of basic repair. Today, as we invest great hope in new energy sources--solar, wind, and other alternatives--the grid is what stands most firmly in the way of a brighter energy future. If we hope to realize this future, we need to re-imagine the grid according to twenty-first-century values. It’s a project which forces visionaries to work with bureaucrats, legislators with storm-flattened communities, moneymen with hippies, and the left with the right. And though it might not yet be obvious, this revolution is already well under way.Cultural anthropologist Gretchen Bakke unveils the many facets of America's energy infrastructure, its most dynamic moments and its most stable ones, and its essential role in personal and national life. The grid, she argues, is an essentially American artifact, one which developed with us: a product of bold expansion, the occasional foolhardy vision, some genius technologies, and constant improvisation. Most of all, her focus is on how Americans are changing the grid right now, sometimes with gumption and big dreams and sometimes with legislation or the brandishing of guns.The Grid tells--entertainingly, perceptively--the story of what has been called “the largest machine in the world”: its fascinating history, its problematic present, and its potential role in a brighter, cleaner future.

    From humorous fishing excursions and frightening bear encounters to snow blinding blizzards and quirky characters, they come face to face with the unpredictable Mother Nature and learn the value of friendship, survival, and solitude in a picturesque but harsh life by the sea. Packed with adventures, challenges, and true Alaskan lifestyle.

    Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century. Murray Shanahan offers an introduction to the idea of the singularity and considers the ramifications of such a potentially seismic event. Shanahan's aim is not to make predictions but rather to investigate a range of scenarios. Whether we believe that singularity is near or far, likely or impossible, apocalypse or utopia, the very idea raises crucial philosophical and pragmatic questions, forcing us to think seriously about what we want as a species. Shanahan describes technological advances in AI, both biologically inspired and engineered from scratch. Once human-level AI -- theoretically possible, but difficult to accomplish -- has been achieved, he explains, the transition to superintelligent AI could be very rapid. Shanahan considers what the existence of superintelligent machines could mean for such matters as personhood, responsibility, rights, and identity. Some superhuman AI agents might be created to benefit humankind; some might go rogue. (Is Siri the template, or HAL?) The singularity presents both an existential threat to humanity and an existential opportunity for humanity to transcend its limitations. Shanahan makes it clear that we need to imagine both possibilities if we want to bring about the better outcome.

    Mankind is reengineering the planet, investing up to ten trillion dollars per year in transportation, energy, and communications infrastructure linking the world’s burgeoning megacities together. This has profound consequences for geopolitics, economics, demographics, the environment, and social identity. Connectivity, not geography, is our destiny. In Connectography, visionary strategist Parag Khanna travels from Ukraine to Iran, Mongolia to North Korea, Pakistan to Nigeria, and across the Arctic Circle and the South China Sea to explain the rapid and unprecedented changes affecting every part of the planet. He shows how militaries are deployed to protect supply chains as much as borders, and how nations are less at war over territory than engaged in tugs-of-war over pipelines, railways, shipping lanes, and Internet cables. The new arms race is to connect to the most markets—a race China is now winning, having launched a wave of infrastructure investments to unite Eurasia around its new Silk Roads. The United States can only regain ground by fusing with its neighbors into a super-continental North American Union of shared resources and prosperity.Connectography offers a unique and hopeful vision for the future. Khanna argues that new energy discoveries and technologies have eliminated the need for resource wars; ambitious transport corridors and power grids are unscrambling Africa’s fraught colonial borders; even the Arab world is evolving a more peaceful map as it builds resource and trade routes across its war-torn landscape. At the same time, thriving hubs such as Singapore and Dubai are injecting dynamism into young and heavily populated regions, cyber-communities empower commerce across vast distances, and the world’s ballooning financial assets are being wisely invested into building an inclusive global society. Beneath the chaos of a world that appears to be falling apart is a new foundation of connectivity pulling it together.Advance praise for Connectography“Connectography is ahead of the curve in seeing the battlefield of the future and the new kind of tug-of-war being waged on it. Khanna’s scholarship and foresight are world-class. . . . A must-read for the next president.”—Chuck Hagel, former U.S. secretary of defense “This bold reframing is an exciting addition to our ongoing debate about geopolitics and the future of globalization.”—Dominic Barton, global managing partner, McKinsey & Company “This is probably the most global book ever written. It is intensely specific while remaining broad and wide. Its takeaway is that infrastructure is destiny: Follow the supply lines outlined in this book to see where the future flows.”—Kevin Kelly, co-founder, Wired “There’s no better guide than Khanna to show us all the possibilities of this new hyperconnected world.”—Mathew Burrows, director, Strategic Foresight Initiative at the Atlantic Council, and former counselor, U.S. National Intelligence Council “This book is an invaluable resource for anyone involved in business, science, arts, or any other field.”—Mark Mobius, executive chairman, Templeton Emerging Markets Group “A must-read for anyone who wants to understand the future of humanity.”—Sandy Pentland, professor, MIT Media Lab

    In an overcrowded, underfunded medical system, she explores how more of us can be healthier, and how listening carefully to a patient’s experience can be as important as prescribing a pill. These dazzling essays show Hitchcock to be one of the most fearless and illuminating medical thinkers of our time – reasonable, insightful and deeply humane.

    He has the multidisciplinary smarts to deeply understand our human dilemma as we stand on the verge of the inevitable collapse of industrialism. And he wields uncommon writing skills, making his diagnosis and prescription entertaining, illuminating, and practically informative. Not to be missed.”—Richard Heinberg, Senior Fellow, Post Carbon Institute and author of Peak Everything“There is a great deal of conventional wisdom about our collective ecological crisis out there in books.  The enormous virtue of John Michael Greer’s work is that his wisdom is never conventional, but profound and imaginative.  There’s no one who makes me think harder, and The Ecotechnic Future pushes Greer’s vision, and our thought processes in important directions.” —Sharon Astyk, farmer, blogger, and author of Depletion and Abundance and A Nation of Farmers “In The Ecotechnic Future, John Michael Greer dispels our fantasies of a tidy, controlled transition from industrial society to a post-industrial milieu. The process will be ragged and rugged and will not invariably constitute an evolutionary leap for the human species. It will, however, offer myriad opportunities to create a society that bolsters complex technology which at the same time maintains a sustainable interaction with the ecosystem. Greer brilliantly inspires us to integrate the two in our thinking and to construct local communities which concretely exemplify this comprehensive vision.” —Carolyn Baker, author of Sacred Demise: Walking The Spiritual Path of Industrial Civilization’s Collapse, and publisher/editor, Speaking Truth to PowerIn response to the coming impact of peak oil, John Michael Greer helps us envision the transition from an industrial society to a sustainable ecotechnic world—not returning to the past, but creating a society that supports relatively advanced technology on a sustainable resource base.Fusing human ecology and history, this book challenges assumptions held by mainstream and alternative thinkers about the evolution of human societies. Human societies, like ecosystems, evolve in complex and unpredictable ways, making it futile to try to impose rigid ideological forms on the patterns of evolutionary change. Instead, social change must explore many pathways over which we have no control. The troubling and exhilarating prospect of an open-ended future, he proposes, requires dissensus—a deliberate acceptance of radical diversity that widens the range of potential approaches to infinity.Written in three parts, the book places the present crisis of the industrial world in its historical and ecological context in part one; part two explores the toolkit for the Ecotechnic Age; and part three opens a door to the complexity of future visions.For anyone concerned about peak oil and the future of industrial society, this book provides a solid analysis of how we got to where we are and offers a practical toolkit to prepare for the future.John Michael Greer is a certified Master Conserver, organic gardener, and scholar of ecological history. He blogs at The Archdruid Report   (www.thearchdruidreport.blogspot.com), and is the author ofThe Long Descent.

    These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author’s note exploring the background and genesis of each story.   Howey’s incisive mind makes Machine Learning: New and Collected Stories a compulsively readable and thought-provoking selection of short works—from a modern master at the top of his game.

    It’s already happening in impressive ways. But as we’ve witnessed over the past 20 years, new technology also inevitably raises complex questions and broad societal concerns.” – Brad Smith and Harry Shum on The Future Computed. “As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on. How do we ensure that AI is designed and used responsibly? How do we establish ethical principles to protect people? How should we govern its use? And how will AI impact employment and jobs?” – Brad Smith and Harry Shum on The Future Computed. As Artificial Intelligence shows up in every aspect of our lives, Microsoft's top minds provide a guide discussing how we should prepare for the future. Whether you're a government leader crafting new laws, an entrepreneur looking to incorporate AI into your business, or a parent contemplating the future of education, this book explains the trends driving the AI revolution, identifies the complex ethics and workforce issues we all need to think about and suggests a path forward. Read more: The Future Computed: Artificial Intelligence and its role in society provides Microsoft’s perspective on where AI technology is going and the new societal issues it is raising – ensuring AI is designed and used responsibly, establishing ethical principles to protect people, and how AI will impact employment and jobs. The principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability are critical to addressing the societal impacts of AI and building trust as AI becomes more and more a part of the products and services that people use at work and at home every day. A central theme in The Future Computed is that for AI to deliver on its potential drive widespread economic and social progress, the technology needs to be human-centered – combining the capabilities of computers with human capabilities to enable people to achieve more. But a human-centered approach can only be realized if researchers, policymakers, and leaders from government, business and civil society come together to develop a shared ethical framework for AI. This in turn will help foster responsible development of AI systems that will engender trust. Because in an increasingly AI-driven world the question is not what computers can do, it is what computers should do. The Future Computed also draws a few conclusions as we chart our path forward. First, the companies and countries that will fare best in the AI era will be those that embrace these changes rapidly and effectively. Second, while AI will help solve big societal problems, we must look to this future with a critical eye as there will be challenges as well as opportunities. Third, we need to act with a sense of shared responsibility because AI won’t be created by the tech sector alone. Finally, skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become grow in importance.

    Join them to explore a brave new world of brain-computer interfaces, vat-grown cruelty-free meat, knitted cars and guided bullets.The writers predict the vast changes that technology will bring to everything from food production to health care, energy output, manufacturing and the military balance. They also consider the impact on jobs, and how we can prepare for the opportunities, as well as the dangers, that await.Thought-provoking, engaging and full of insight from the forefront of tech innovation, Megatech is essential reading for anyone who wants to understand tomorrow's world.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions.When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

    Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer winning in games like Jeopardy and go does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules. These approaches are too narrow to achieve genuine intelligence. The world we live in is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Marcus and Davis show us what we need to first accomplish before we get there and argue that if we are wise along the way, we won't need to worry about a future of machine overlords. If we heed their advice, humanity can create an AI that we can trust in our homes, our cars, and our doctor's offices. Reboot provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of what we can achieve and how AI can make our lives better.

    Backed by investors such as Larry Ellison and Tim Draper, Theranos sold shares in a fundraising round that valued the company at $9 billion, putting Holmes's worth at an estimated $4.7 billion. There was just one problem: The technology didn't work.For years, Holmes had been misleading investors, FDA officials, and her own employees. When Carreyrou, working at The Wall Street Journal, got a tip from a former Theranos employee and started asking questions, both Carreyrou and the Journal were threatened with lawsuits. Undaunted, the newspaper ran the first of dozens of Theranos articles in late 2015. By early 2017, the company's value was zero and Holmes faced potential legal action from the government and her investors. Here is the riveting story of the biggest corporate fraud since Enron, a disturbing cautionary tale set amid the bold promises and gold-rush frenzy of Silicon Valley.

    We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me.Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.