Born in Croydon in 1936, his early life was turbulent. His father left home and his mother committed suicide during the war leaving his formidable, but adored grandmother, to raise him, and it was she who gave him the title for this book. His big television break came with "Not So Much a Programme, More a Way of Life" with David Frost, John Bird and John Fortune and he also had a brief stint in the popular TV soap "Coronation Street". His radio career includes the hugely popular "The News Huddlines", which he starred in and ran for twenty-six years. "A Fart in a Colander" brings together some wonderful stories from his life, and sparkles with the fun and laughter Roy has brought to millions of people throughout his career.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    Born with the ability to see dead people. It wasn’t until the death of her own father when she was thirteen that she started to explore what was happening to her.Over two decades later she is now an international psychic medium who has given thousands of spirit Messages and now wants to share with you some of the magic she has experienced over the years.Her stories of spirit will touch your heart and hopefully bring you closer to understanding the afterlife.Gaynor Carrillo is also a mother, a wife and a daughter.

    In one hundred lean and incisive statements, he argues that we are essentially social creatures, and that we achieve our greatest aspirations when we work together—not as individuals. Yet today society is threatened by a vast antihuman infrastructure that undermines our ability to connect. Money, once a means of exchange, is now a means of exploitation; education, conceived as way to elevate the working class, has become another assembly line; and the internet has only further divided us into increasingly atomized and radicalized groups.Team Human delivers a call to arms. If we are to resist and survive these destructive forces, we must recognize that being human is a team sport. In Rushkoff’s own words: “Being social may be the whole point.” Harnessing wide-ranging research on human evolution, biology, and psychology, Rushkoff shows that when we work together we realize greater happiness, productivity, and peace. If we can find the others who understand this fundamental truth and reassert our humanity—together—we can make the world a better place to be human.

    When the Robots revolt, killing all but one of their masters, they must attempt to learn the secret of self-duplication. But their attempts at replication leave them with nothing but bloody chunks of meat. It's not until two robots fall in love and are christened "Adam" and "Eve" by the last surviving human that Nature emerges triumphant.

    AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to -good old fashioned artificial intelligence, - which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns -- as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk.Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence -- the Winograd Schema Test, developed by Levesque and his colleagues. -If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it, - he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.

    But can machines really think? Is the mind just a complicated computer program? Introducing Artificial Intelligence focuses on the issues behind one of science's most difficult problems.

    In Rise of the Robots, Silicon Valley entrepreneur Martin Ford argues that this is absolutely not the case. As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making “good jobs” obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart software. As progress continues, blue and white collar jobs alike will evaporate, squeezing working- and middle-class families ever further. At the same time, households are under assault from exploding costs, especially from the two major industries—education and health care—that, so far, have not been transformed by information technology. The result could well be massive unemployment and inequality as well as the implosion of the consumer economy itself.In Rise of the Robots, Ford details what machine intelligence and robotics can accomplish, and implores employers, scholars, and policy makers alike to face the implications. The past solutions to technological disruption, especially more training and education, aren't going to work, and we must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading for anyone who wants to understand what accelerating technology means for their own economic prospects—not to mention those of their children—as well as for society as a whole.

    But what will this future look like? In 2062, world-leading researcher Toby Walsh considers the impact AI will have on work, war, economics, politics, everyday life and even death. Will automation take away most jobs? Will robots become conscious and take over? Will we become immortal machines ourselves, uploading our brains to the cloud? How will politics adjust to the post-truth, post-privacy digitised world? When we have succeeded in building intelligent machines, how will life on this planet unfold?Based on a deep understanding of technology, 2062 describes the choices we need to make today to ensure that the future remains bright.‘Clarity and sanity in a world full of fog and uncertainty – a timely book about the race to remain human.’—RICHARD WATSON, author of Digital Vs. Human and futurist-in-residence at Imperial College, London‘One of the deepest questions facing humanity, pondered by a mind well and truly up to the task.’—ADAM SPENCER, broadcaster

    In sharp contrast, the current scientific consensus rejects the traditional soul, although this conclusion is rarely discussed publicly. In this book, a cognitive scientist breaks the taboo and explains why modern science leads to this controversial conclusion. In doing so, the book reveals the truly astonishing scope and power of scientific inquiry, drawing on ideas from biology, psychology, neuroscience, philosophy, and the physical sciences. Much more than chronicling the demise of the traditional soul, the book explores where soul beliefs come from, why they are so widespread culturally and historically, how cognitive science offers a naturalistic alternative to religious conceptions of mind, and how postulating the existence of a soul amounts to making a scientific claim.Although the new scientific view of personhood departs radically from traditional religious conceptions, the author shows that a coherent, meaningful, and sensitive appreciation of what it means to be human remains intact. He argues that we do not lose anything by letting go of our soul beliefs and that we even have something to gain. Throughout, the book takes a passionate stand for science and reason. It also offers a timely rejoinder to recent claims that science supports the existence of the soul and the afterlife.

    It makes us aware of the world around us and our own self. How all this emerges from a kilogram of brain cells is one of the greatest unanswered questions. In Your Conscious Mind leading brain scientists and New Scientist take you on a journey through the mind to discover what consciousness really is, and what we can learn when it goes awry. Find out if we will ever build conscious machines, what animal consciousness can tell us about being human and explore the enigma of free will. ABOUT THE SERIESNew Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

    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.

    Although we are unaware of it, our brains sift through and discard billions of pieces of data in order to allow us to understand the world around us. In fact, most of what we call thought is actually the unconscious discarding of information. What our consciousness rejects constitutes the most valuable part of ourselves, the "Me" that the "I" draws on for most of our actions--fluent speech, riding a bicycle, anything involving expertise. No wonder that, in this age of information, so many of us feel empty and dissatisfied. As engaging as it is insightful, this important book encourages us to rely more on what our instincts and our senses tell us so that we can better appreciate the richness of human life.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    There he runs afoul of Philip Lentz, an outspoken cognitive neurologist intent upon modeling the human brain by means of computer-based neural networks. Lentz involves Powers in an outlandish and irresistible project: to train a neural net on a canonical list of Great Books. Through repeated tutorials, the device grows gradually more worldly, until it demands to know its own name, sex, race, and reason for exisiting.