We rely on them every day of our lives. They make us who we are. And yet the truth is they are far from being the accurate record of the past we like to think they are. True, we can all admit to having suffered occasional memory lapses, such as entering a room and immediately forgetting why, or suddenly being unable to recall the name of someone we've met dozens of times. But what if our minds have the potential for more profound errors, that enable the manipulation or even outright fabrication of our memories?In The Memory Illusion, forensic psychologist and memory expert Dr Julia Shaw uses the latest research to show the astonishing variety of ways in which our brains can indeed be led astray. She shows why we can sometimes misappropriate other people's memories, subsequently believing them to be our own. She explains how police officers can imprison an innocent man for life on the basis of many denials and just one confession. She demonstrates the way radically false memories can be deliberately implanted, leading people to believe they had tea with Prince Charles, or committed crimes that never happened. And she reveals how, in spite of all this, we can improve our memory through simple awareness of its fallibility. Fascinating and unnerving in equal measure, The Memory Illusion offers a unique insight into the human brain, challenging you to question how much you can ever truly know about yourself.

    By using objects early to solve interesting problems and defining objects later in the course, Building Java Programs develops programming knowledge for a broad audience. Introduction to Java Programming, Primitive Data and Definite Loops, Introduction to Parameters and Objects, Conditional Execution, Program Logic and Indefinite Loops, File Processing, Arrays, Defining Classes, Inheritance and Interfaces, ArrayLists, Java Collections Framework, Recursion, Searching and Sorting, Graphical User Interfaces. For all readers interested in introductory programming.

    We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is “probably approximately correct” algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant’s theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life’s complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    Pulitzer prize-winning New York Times science writer John Markoff argues that we must decide to design ourselves into our future, or risk being excluded from it altogether.In the past decade, Google introduced us to driverless cars; Apple debuted Siri, a personal assistant that we keep in our pockets; and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the Web. Robots have become an integral part of society on the battlefield and the road; in business, education, and health care. Cheap sensors and powerful computers will ensure that in the coming years, these robots will act on their own. This new era offers the promise of immensely powerful machines, but it also reframes a question first raised more than half a century ago, when the intelligent machine was born. Will we control these systems, or will they control us?In Machines of Loving Grace, John Markoff offers a sweeping history of the complicated and evolving relationship between humans and computers. In recent years, the pace of technological change has accelerated dramatically, posing an ethical quandary. If humans delegate decisions to machines, who will be responsible for the consequences? As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s and 1960s, to the modern-day brain trusts at Google and Apple in Silicon Valley, and on to the expanding robotics economy around Boston, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the brink of the next stage of the computer revolution, Markoff argues, and robots will profoundly transform modern life. Yet it remains for us to determine whether this new world will be a utopia. Moreover, it is now incumbent upon the designers of these robots to draw a bright line between what is human and what is machine.After nearly forty years covering the tech industry, Markoff offers an unmatched perspective on the most drastic technology-driven societal shifts since the introduction of the Internet. Machines of Loving Grace draws on an extensive array of research and interviews to present an eye-opening history of one of the most pressing questions of our time, and urges us to remember that we still have the opportunity to design ourselves into the future—before it's too late.

    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.

    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.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    Learn them fast and learn them well. Have you always wanted to learn to build your own website but are afraid it'll be too difficult for you? Or perhaps you are a blogger who wants to tweak your blog's design, without having to spend money on an expensive theme. This book is for you. You no longer have to waste your time and money learning HTML and CSS from lengthy books, expensive online courses or complicated tutorials. What this book offers... HTML and CSS for Beginners Complex concepts are broken down into simple steps to ensure that you can easily master the two languages even if you have never coded before. Carefully Chosen Examples (with images) Examples are carefully chosen to illustrate all concepts. In addition, images are provided whenever necessary so that you can immediately see the visual effects of various CSS properties. Learn The Languages Fast Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn HTML and CSS in just one day and start coding immediately. How is this book different... The best way to learn programming is by doing. End-of-Chapter Exercises Each CSS chapter comes with an end-of-chapter exercise where you get to practice the different CSS properties covered in the chapter and see first hand how different CSS values affect the design of the website. Bonus Project The book also includes a bonus project that requires the application of all the HTML and CSS concepts taught previously. Working through the project will not only give you an immense sense of achievement, it’ll also help you see how the various concepts tie together. Are you ready to dip your toes into the exciting world of web development? This book is for you. Click the BUY button and download it now. What you'll learn: - What is CSS and HTML? - What software do you need to write and run CSS codes? - What are HTML tags and elements? - What are the commonly used HTML tags and how to use them? - What are HTML IDs and Classes? - What is the basic CSS syntax? - What are CSS selectors? - What are pseudo classes and pseudo elements? - How to apply CSS rules to your website and what is the order of precedence? - What is the CSS box model? - How to position and float your CSS boxes - How to hide HTML content - How to change the background of CSS boxes - How to use the CSS color property to change colors - How to modify text and font of a website - How to create navigation bars - How to create gorgeous looking tables to display your data .. and more... Click the BUY button and download the book now to start learning HTML and CSS now. Learn them fast and learn them well. Tags: ------------ CSS, HTML5, web development, web page design, CSS examples, CSS tutorials, CSS coding, CSS for Dummies

    In this direct and non-technical discussion of consciousness, Dr. Gerald M. Edelman draws on a lifetime of scientific inquiry into the workings of the brain to formulate answers to the mind-body questions that intrigue every thinking person.Concise and understandable, the book explains pertinent findings of modern neuroscience and describes how consciousness arises in complex brains. Edelman explores the relation of consciousness to causation, to evolution, to the development of the self, and to the origins of feelings, learning, and memory. His analysis of the brain activities underlying consciousness is based on recent remarkable advances in biochemistry, immunology, medical imaging, neuroscience, and evolutionary biology, yet the implications of his book extend farther—beyond the worlds of science and medicine into virtually every area of human inquiry.

    The human brain has evolved a complex circuitry that allows it to be socially intelligent. This social machinery has only just begun to be studied in detail. One function of this circuitry is to attribute awareness to others: to compute that person Y is aware of thing X. In Graziano's theory, the machinery that attributes awareness to others also attributes it to oneself. Damage that machinery and you disrupt your own awareness. Graziano discusses the science, the evidence, the philosophy, and the surprising implications of this new theory.

    John C. Lilly explodes our sense of the boundaries of the human brain, as he details his controversial experiments with exploring the mind's vast potential. Starting from the position that man is essentially a biological computer, Lilly explains we are all born with some "programs"--such as eating, sleeping, and feeling pain--ingrained in our genetic code. Our ability to take in new information and to develop ideas beyond these innate programs depends on our capacity for "metaprogramming," or learning to learn. Here Lilly documents both the methods and results of his famous experiments with expanding the mind's metaprogramming power with LSD and sensory deprivation. By altering the brain's normal operations with psychotropic substances or freeing it of the need to create a safe environment, the range of human thought, Lilly contends, can be increased beyond any previous expectations. Combining intellectual creativity and scientific rigor, Programming and Metaprogramming in the Human Biocomputer provides intriguing insights into the workings of the brain and the process of thought.

    It aims to give readers a fundamental overview of the technologies that make up the telecommunications infrastructure.

    Ramachandran, now shares his unique insight into human consciousness in an entertaining, inspiring, and intellectually dazzling brief tour of the ultimate frontier—the thoughts in our heads.A Brief Tour of Human Consciousness is made up of five investigations of the greatest mysteries of the brain. The first chapter shows how amputees feel pain in limbs they no longer have as it introduces the great revolution of our age: neuroscience. The second chapter walks through the way what we see determines our thoughts, and demonstrates the counterintuitive point that believing is in fact seeing. The third chapter takes a leap beyond cutting edge science to audaciously set out a general theory of beauty, explaining why, the world over, cultures have fundamentally similar notions of what is attractive. The fourth chapter explores the bizarre world of synesthetes, people who see colors in numbers, textures in smells, sounds in sights, and flavors in sounds. Finally, V. S. Ramachandran one of the foremost brain researchers in the world today, sums up the implications of the revolution in our understanding of consciousness, to make a fascinating argument about our essential sense of self and its distributed nature.