Why Machines Learn The Elegant Math Behind Modern Ai Goodreads
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The Man Who Wasn't There
*Nominated for the 2016 PEN/E.O. Wilson Literary Science Writing Award* *An NBC News Notable Science Book of 2015* *Named one of Publishers Weekly's Best Books of 2015* *A Book of the Month for Brain HQ/Posit Science* *Selected by Forbes as a Must Read Brain Book of 2015* *On Life Changes Network’s list of the Top 10 Books That Could Change Your Life of 2015* In the tradition of Oliver Sacks, a tour of the latest neuroscience of schizophrenia, autism, Alzheimer’s disease, ecstatic epilepsy, Cotard’s syndrome, out-of-body experiences, and other disorders—revealing the awesome power of the human sense of self from a master of science journalism. Anil Ananthaswamy’s extensive in-depth interviews venture into the lives of individuals who offer perspectives that will change how you think about who you are. These individuals all lost some part of what we think of as our self, but they then offer remarkable, sometimes heart-wrenching insights into what remains. One man cut off his own leg. Another became one with the universe. We are learning about the self at a level of detail that Descartes (“I think therefore I am”) could never have imagined. Recent research into Alzheimer’s illuminates how memory creates your narrative self by using the same part of your brain for your past as for your future. But wait, those afflicted with Cotard’s syndrome think they are already dead; in a way, they believe that “I think therefore I am not.” Who—or what—can say that? Neuroscience has identified specific regions of the brain that, when they misfire, can cause the self to move back and forth between the body and a doppelgänger, or to leave the body entirely. So where in the brain, or mind, or body, is the self actually located? As Ananthaswamy elegantly reports, neuroscientists themselves now see that the elusive sense of self is both everywhere and nowhere in the human brain.
Through Two Doors at Once
The clearest, most accessible explanation yet of the amazing world of quantum mechanics. How can matter behave both like a particle and a wave? Does a particle exist before we look at it or does the very act of looking bring it into reality? Are there hidden elements to reality missing from the orthodox view of quantum physics? And is there a place where the quantum world ends and our perceivable world begins? Many of science's greatest minds have grappled with these questions embodied by the simple yet elusive "double-slit" experiment. Thomas Young devised it in the early 1800s to show that light behaves like a wave, and in doing so opposed Isaac Newton’s theories. Nearly a century later, Albert Einstein showed that light comes in particles, and the experiment became key to a fierce debate with Niels Bohr over the nature of reality. Richard Feynman held that the double slit embodies the central mystery of the quantum world. Hypothesis after hypothesis, scientists have returned to this ingenious experiment to help them answer the deep questions about the fabric of our universe. With his extraordinary gift for making the complicated comprehensible, Anil Ananthaswamy travels around the world and through history, down to the smallest scales of physical reality we have yet fathomed for the answers. ***PRAISE FOR THROUGH TWO DOORS AT ONCE*** A Physics Book of the Year A Forbes Best Book of the Year A Kirkus Best Book of the Year A Smithsonian Favourite Book of the Year Publisher's Weekly Best Books of Autumn 'A fascinating read and a must for anyone who would like to find out the latest experimental advances made in this most fundamental of quantum experiments.' Physics World 'Ananthaswamy cleverly comes at quantum physics from a different direction... An excellent addition to the 'Quantum physics for the rest of us' shelf.' Brian Clegg, author of Are Numbers Real? and The Quantum Age 'A challenging and rewarding survey of how scientists are grappling with nature’s deepest, strangest secrets.' Wall Street Journal 'A fascinating tour through the cutting-edge physics the experiment keeps on spawning.' Scientific American 'Ananthaswamy gives an absolutely mind-boggling tour of how quantum physicists try to explain this “reality” that one of the most powerful scientific models of our era.' Smithsonian 'Offers beginners the tools they need to seriously engage with the philosophical questions that likely drew them to quantum mechanics.' Science 'At a time when popular physics writing so valorizes theory, a quietly welcome strength of Ananthaswamy’s book is how much human construction comes into focus here. This is not “nature” showing us, but us pressing “nature” for answers to our increasingly obsessional questions.' Washington Post 'Ananthaswamy's book is simply an outstanding exploration of the double slit experiment and what makes it so weird.' Forbes 'A thrilling survey of the most famous, enduring, and enigmatic experiment in the history of science.' Kirkus, starred review
Probably Approximately Correct
From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns. How does life prosper in a complex and erratic world? While we know that nature follows patterns -- such as the law of gravity -- our everyday lives are beyond what known science can predict. 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.