Breaking down the symbols themselves, they pose a series of questions: What is energy? What is mass? What has the speed of light got to do with energy and mass? In answering these questions, they take us to the site of one of the largest scientific experiments ever conducted. Lying beneath the city of Geneva, straddling the Franco-Swiss boarder, is a 27 km particle accelerator, known as the Large Hadron Collider. Using this gigantic machine—which can recreate conditions in the early Universe fractions of a second after the Big Bang—Cox and Forshaw will describe the current theory behind the origin of mass.Alongside questions of energy and mass, they will consider the third, and perhaps, most intriguing element of the equation: 'c' - or the speed of light. Why is it that the speed of light is the exchange rate? Answering this question is at the heart of the investigation as the authors demonstrate how, in order to truly understand why E=mc2, we first must understand why we must move forward in time and not backwards and how objects in our 3-dimensional world actually move in 4-dimensional space-time. In other words, how the very fabric of our world is constructed. A collaboration between two of the youngest professors in the UK, Why Does E=mc2? promises to be one of the most exciting and accessible explanations of the theory of relativity in recent years.

    There really are no ultimate authority figures-no one has the secret and there is no place to look up the definitive answers to our questions (not even Google). But, by thinking skeptically and logically, we can combat sloppy reasoning, bad arguments and superstitious thinking. It's difficult, and takes a lot of vigilance, but it's worth the effort.In this tie-in to their incredibly popular "The Skeptics Guide to the Universe" podcast, Steven Novella, MD along with "Skeptical Rogues" Bob Novella, Cara Santa Maria, Jay Novella, and Evan Bernstein will explain the tenets of skeptical thinking and debunk some of the biggest scientific myths, fallacies and conspiracy theories (Anti-vaccines, homeopathy, UFO sightings, etc.) They'll help us try to make sense of what seems like an increasingly crazy world using powerful tools like science and philosophy. THE SKEPTICS' GUIDE TO THE UNIVERSE is your guide through this maze of modern life. It covers essential critical thinking skills, as well as giving insight into how your brain works and how to avoid common pitfalls in thinking. They discuss the difference between science and pseudoscience, how to recognize common science news tropes, how to discuss conspiracy theories with that crazy coworker of yours, and how to apply all of this to everyday life.So, are you ready to join them on an epic scientific quest, one that has taken us from huddling in dark caves to stepping foot on the Moon? (Yes, we really did that.) Like all adventures, this one is foremost a journey of self discovery. The monsters you will slay and challenges you will face are mostly constructs of your own mind. With the SKEPTIC'S GUIDE TO THE UNIVERSE, we can do this together.

    It could forever change how you experience and interact with your physical surroundings, open your eyes to the perversity of bad design and the desirability of good design, and raise your expectations about how things should be designed.B & W photographs and illustrations throughout.

    But what is it physically? And where is it really? Our mental map of the network is as blank as the map of the ocean that Columbus carried on his first Atlantic voyage. The Internet, its material nuts and bolts, is an unexplored territory. Until now.In Tubes, journalist Andrew Blum goes inside the Internet's physical infrastructure and flips on the lights, revealing an utterly fresh look at the online world we think we know. It is a shockingly tactile realm of unmarked compounds, populated by a special caste of engineer who pieces together our networks by hand; where glass fibers pulse with light and creaky telegraph buildings, tortuously rewired, become communication hubs once again. From the room in Los Angeles where the Internet first flickered to life to the caverns beneath Manhattan where new fiber-optic cable is buried; from the coast of Portugal, where a ten-thousand-mile undersea cable just two thumbs wide connects Europe and Africa, to the wilds of the Pacific Northwest, where Google, Microsoft, and Facebook have built monumental data centers—Blum chronicles the dramatic story of the Internet's development, explains how it all works, and takes the first-ever in-depth look inside its hidden monuments.This is a book about real places on the map: their sounds and smells, their storied pasts, their physical details, and the people who live there. For all the talk of the "placelessness" of our digital age, the Internet is as fixed in real, physical spaces as the railroad or telephone. You can map it and touch it, and you can visit it. Is the Internet in fact "a series of tubes" as Ted Stevens, the late senator from Alaska, once famously described it? How can we know the Internet's possibilities if we don't know its parts?Like Tracy Kidder's classic The Soul of a New Machine or Tom Vanderbilt's recent bestseller Traffic, Tubes combines on-the-ground reporting and lucid explanation into an engaging, mind-bending narrative to help us understand the physical world that underlies our digital lives.

    Friedman shows that we have entered an age of dizzying acceleration--and explains how to live in it. Due to an exponential increase in computing power, climbers atop Mount Everest enjoy excellent cell-phone service and self-driving cars are taking to the roads. A parallel explosion of economic interdependency has created new riches as well as spiraling debt burdens. Meanwhile, Mother Nature is also seeing dramatic changes as carbon levels rise and species go extinct, with compounding results.How do these changes interact, and how can we cope with them? To get a better purchase on the present, Friedman returns to his Minnesota childhood and sketches a world where politics worked and joining the middle class was an achievable goal. Today, by contrast, it is easier than ever to be a maker (try 3-D printing) or a breaker (the Islamic State excels at using Twitter), but harder than ever to be a leader or merely "average." Friedman concludes that nations and individuals must learn to be fast (innovative and quick to adapt), fair (prepared to help the casualties of change), and slow (adept at shutting out the noise and accessing their deepest values). With vision, authority, and wit, Thank You for Being Late establishes a blueprint for how to think about our times.

    Kathryn Schulz, editor of Grist magazine, argues that error is the fundamental human condition and should be celebrated as such. Guiding the reader through the history and psychology of error, from Socrates to Alan Greenspan, Being Wrong will change the way you perceive screw-ups, both of the mammoth and daily variety, forever.

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

    As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world.While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field--a one-stop-shop for AI's past, present, and world-changing future.

    In his eagerly anticipated, deeply researched new book, Schreier trains his investigative eye on the volatility of the video game industry and the resilience of the people who work in it. The business of videogames is both a prestige industry and an opaque one. Based on dozens of first-hand interviews that cover the development of landmark games -- Bioshock Infinite, Epic Mickey, Dead Space, and more -- on to the shocking closures of the studios that made them, PRESS RESET tells the stories of how real people are affected by game studio shutdowns, and how they recover, move on, or escape the industry entirely. Schreier's insider interviews cover hostile takeovers, abusive bosses, corporate drama, bounced checks, and that one time the Boston Red Sox's Curt Schilling decided he was going to lead a game studio that would take out World of Warcraft. Along the way, he asks pressing questions about why, when the video game industry is more successful than ever, it's become so hard to make a stable living making video games -- and whether the business of making games can change before it's too late.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    But its toxic effects on society are plain to see—feeding white nationalism, fueling hatred, endangering lives, and corroding our discourse on everything from sports to intelligence. Even well-intentioned people repeat stereotypes based on “science,” because cutting-edge genetics are hard to grasp—and all too easy to distort. Paradoxically, these misconceptions are multiplying even as scientists make unprecedented discoveries in human genetics—findings that, when accurately understood, are powerful evidence against racism. We’ve never had clearer answers about who we are and where we come from, but this knowledge is sorely needed in our casual conversations about race.How to Argue With a Racist emphatically dismantles outdated notions of race by illuminating what modern genetics actually can and can’t tell us about human difference. We now know that the racial categories still dividing us do not align with observable genetic differences. In fact, our differences are so minute that, most of all, they serve as evidence of our shared humanity.

    Someday, we know, we will all die. And, we know, so too will the universe itself.Until the End of Time is Brian Greene's breathtaking new exploration of the cosmos and our quest to understand it. Greene takes us on a journey across time, from our most refined understanding of the universe's beginning, to the closest science can take us to the very end. He explores how life and mind emerged from the initial chaos, and how our minds, in coming to understand their own impermanence, seek in different ways to give meaning to experience: in story, myth, religion, creative expression, science, the quest for truth, and our longing for the timeless, or eternal. Through a series of nested stories that explain distinct but interwoven layers of reality-from the quantum mechanics to consciousness to black holes-Greene provides us with a clearer sense of how we came to be, a finer picture of where we are now, and a firmer understanding of where we are headed.Yet all this understanding, which arose with the emergence of life, will dissolve with its conclusion. Which leaves us with one realization: during our brief moment in the sun, we are tasked with the charge of finding our own meaning.Let us embark.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it.Along the way, we discover why we probably don't need to worry about a future AI resurrecting a perfect copy of our minds and torturing us for not inventing it sooner, but we perhaps should be concerned about paperclips destroying life as we know it; how Mickey Mouse can teach us an important lesson about how to program AI; and how a more rational approach to life could be what saves us all.

    Through four years of groundbreaking research, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance—and what drives it—using rigorous statistical methods. This book presents both the findings and the science behind that research. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance.