But it was C. P. Snow's Rede lecture of 1959 that brought it to prominence and began a public debate that is still raging in the media today. This 50th anniversary printing of The Two Cultures and its successor piece, A Second Look (in which Snow responded to the controversy four years later) features an introduction by Stefan Collini, charting the history and context of the debate, its implications and its afterlife. The importance of science and technology in policy run largely by non-scientists, the future for education and research, and the problem of fragmentation threatening hopes for a common culture are just some of the subjects discussed.

    In the insightful How Music Works, Byrne offers his unique perspective on music - including how music is shaped by time, how recording technologies transform the listening experience, the evolution of the industry, and much more.

    By studying social behaviors in animals, such as bonding, the herd instinct, the forming of trusting alliances, expressions of consolation, and conflict resolution, Frans de Waal demonstrates that animals–and humans–are "preprogrammed to reach out." He has found that chimpanzees care for mates that are wounded by leopards, elephants offer "reassuring rumbles" to youngsters in distress, and dolphins support sick companions near the water's surface to prevent them from drowning. From day one humans have innate sensitivities to faces, bodies, and voices; we've been designed to feel for one another.De Waal's theory runs counter to the assumption that humans are inherently selfish, which can be seen in the fields of politics, law, and finance, and which seems to be evidenced by the current greed-driven stock market collapse. But he cites the public's outrage at the U.S. government's lack of empathy in the wake of Hurricane Katrina as a significant shift in perspective–one that helped Barack Obama become elected and ushered in what may well become an Age of Empathy. Through a better understanding of empathy's survival value in evolution, de Waal suggests, we can work together toward a more just society based on a more generous and accurate view of human nature.Written in layman's prose with a wealth of anecdotes, wry humor, and incisive intelligence, The Age of Empathy is essential reading for our embattled times.

    A world that is as creative and complex as it is dangerous and disturbing. A world that is much closer than you think.The dark net is an underworld that stretches from popular social media sites to the most secretive corners of the encrypted web. It is a world that frequently appears in newspaper headlines, but one that is little understood, and rarely explored. The Dark Net is a revelatory examination of the internet today, and of its most innovative and dangerous subcultures: trolls and pornographers, drug dealers and hackers, political extremists and computer scientists, Bitcoin programmers and self-harmers, libertarians and vigilantes.Based on extensive first-hand experience, exclusive interviews and shocking documentary evidence, The Dark Net offers a startling glimpse of human nature under the conditions of freedom and anonymity, and shines a light on an enigmatic and ever-changing world.

    In fact, he points out, our cooperative instincts may have evolved as part of mankind?s natural selfish behavior--by exchanging favors we can benefit ourselves as well as others.Brilliantly orchestrating the newest findings of geneticists, psychologists, and anthropologists, The Origins of Virtue re-examines the everyday assumptions upon which we base our actions towards others, whether in our roles as parents, siblings, or trade partners. With the wit and brilliance of The Red Queen, his acclaimed study of human and animal sexuality, Matt Ridley shows us how breakthroughs in computer programming, microbiology, and economics have given us a new perspective on how and why we relate to each other.

    Infinite Reality is the straight dope on what is and isn’t happening to us right now, from two of the only scientists working on the boundaries between real life and its virtual extensions.”—Douglas Rushkoff, author of Program or Be ProgrammedHow achievable are the virtual experiences seen in The Matrix, Tron, and James Cameron’s Avatar? Do our brains know where “reality” ends and “virtual” begins? In Infinite Reality, Jim Blascovich and Jeremy Bailenson, two pioneering experts in the field of virtual reality, reveal how the human brain behaves in virtual environments and examine where radical new developments in digital technology will lead us in five, fifty, and five hundred years.

    Disciples of Darwin have explained how natural selection produced plants, but what about the human mind?In From Bacteria to Bach and Back, Daniel C. Dennett builds on recent discoveries from biology and computer science to show, step by step, how a comprehending mind could in fact have arisen from a mindless process of natural selection. A crucial shift occurred when humans developed the ability to share memes, or ways of doing things not based in genetic instinct. Competition among memes produced thinking tools powerful enough that our minds don’t just perceive and react, they create and comprehend.An agenda-setting book for a new generation of philosophers and scientists, From Bacteria to Bach and Back will delight and entertain all those curious about how the mind works.

    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.

    It might seem that there’s an obvious reason that true beliefs matter: false beliefs will hurt you. But if that’s right, then why is it (apparently) irrelevant to many people whether they believe true things or not? The Misinformation Age, written for a political era riven by “fake news,” “alternative facts,” and disputes over the validity of everything from climate change to the size of inauguration crowds, shows convincingly that what you believe depends on who you know. If social forces explain the persistence of false belief, we must understand how those forces work in order to fight misinformation effectively.

    "A meditation on what it might mean to be human in an age of ever-accelerating technology"--

    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.

    From mood to memory, persuasion to procrastination, and resilience to relationships, Wiseman outlines the research supporting this new science of rapid change, and describes how these quick and quirky techniques can be incorporated into everyday life. Think a little, change a lot."Discover why even thinking about going to the gym can help you keep in shape ""Learn how pot plants make you more creative ""Find out why putting a pencil between your teeth instantly makes you happier "" "'At last, a self-help guide that is based on proper research. Perfect for busy, curious, smart people' Simon Singh, author of Fermat's Last Theorem'A triumph of scientifically proven advice over misleading myths of self-help. Challenging, uplifting and long overdue' Derren Brown

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    The shamed are people like us - people who, say, made a joke on social media that came out badly, or made a mistake at work. Once their transgression is revealed, collective outrage circles with the force of a hurricane and the next thing they know they're being torn apart by an angry mob, jeered at, demonized, sometimes even fired from their job. People are using shame as a form of social control.

    It seems so ordinary, everyone does it. Actually it's more of a black box, which Dehaene cracks open to reveal the awesome secrets within."--The New York Times Book Review An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate themThe human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency?In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms in our schools and universities, as well as in everyday life and at any age.