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Giant Brains Or Machines That Think
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Book Synopsis Giant Brains; Or, Machines that Think by : Edmund Callis Berkeley
Download or read book Giant Brains; Or, Machines that Think written by Edmund Callis Berkeley and published by . This book was released on 1949 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Giant Brains" explores and explains the new calculating machines which have been developed by various laboratories, the principles involved, their reliability, and their functions and limitations. These machines can calculate, remember, reason, store, select, and handle information and so are of great value in science and industry. Mr. Berkeley, a mathematician, worked during the war on the development of these machines, and envisions myriad uses for them in the future. He also grapples with the possible social impact of employing such machines, a question more commonly addressed in fiction. While the scientifically initiated will derive the greatest pleasure from this book, it is addressed to the interested general reader.
Book Synopsis Giant brains; or, Machines that think by : Edmund Callis Berkeley
Download or read book Giant brains; or, Machines that think written by Edmund Callis Berkeley and published by Good Press. This book was released on 2023-07-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Giant brains; or, Machines that think" by Edmund Callis Berkeley. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.
Download or read book On Intelligence written by Jeff Hawkins and published by Macmillan. This book was released on 2007-04-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
Download or read book Thinking Machines written by Luke Dormehl and published by Penguin. This book was released on 2017-03-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.
Download or read book Machines that Think written by Toby Walsh and published by Prometheus Books. This book was released on 2018 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A scientist who has spent a career developing Artificial Intelligence takes a realistic look at the technological challenges and assesses the likely effect of AI on the future. How will Artificial Intelligence (AI) impact our lives? Toby Walsh, one of the leading AI researchers in the world, takes a critical look at the many ways in which "thinking machines" will change our world. Based on a deep understanding of the technology, Walsh describes where Artificial Intelligence is today, and where it will take us. * Will automation take away most of our jobs? * Is a "technological singularity" near? * What is the chance that robots will take over? * How do we best prepare for this future? The author concludes that, if we plan well, AI could be our greatest legacy, the last invention human beings will ever need to make.
Book Synopsis Smarter Tomorrow by : Elizabeth R. Ricker
Download or read book Smarter Tomorrow written by Elizabeth R. Ricker and published by Little, Brown Spark. This book was released on 2021-08-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: What if you could upgrade your brain in 15 minutes a day? Let Elizabeth Ricker, an MIT and Harvard-trained brain researcher turned Silicon Valley technologist, show you how. Join Ricker on a wild and edifying romp through the cutting-edge world of neuroscience and biohacking. You'll encounter Olympic athletes, a game show contestant, a memory marvel, a famous CEO, and scientists galore. From Ricker’s decade-long quest, you will learn: ● The brain-based reason so many self-improvement projects fail . . . But how a little-known secret of Nobel Prize winning scientists could finally unlock success ● Which four abilities—both cognitive and emotional—can predict success in work and relationships . . . and a new system for improving all four ● Which seven research-tested tools can supercharge mental performance. They range from low-tech (a surprising new mindset) to downright futuristic (an electrical device for at-home brain stimulation) Best of all, you will learn to upgrade your brain with Ricker’s 20 customizable self-experiments and a sample, 12-week schedule. Ricker distills insights from dozens of interviews and hundreds of research studies from around the world. She tests almost everything on herself, whether it’s nicotine, video games, meditation, or a little-known beverage from the Pacific islands. Some experiments fail hilariously—but others transform her cognition. She is able to sharpen her memory, increase her attention span, boost her mood, and clear her brain fog. By following Ricker’s system, you’ll uncover your own boosts to mental performance, too. Join a growing, global movement of neurohackers revolutionizing their careers and relationships. Let this book change 15 minutes of your day, and it may just change the rest of your life!
Book Synopsis The Human Advantage by : Suzana Herculano-Houzel
Download or read book The Human Advantage written by Suzana Herculano-Houzel and published by MIT Press. This book was released on 2016-03-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why our human brains are awesome, and how we left our cousins, the great apes, behind: a tale of neurons and calories, and cooking. Humans are awesome. Our brains are gigantic, seven times larger than they should be for the size of our bodies. The human brain uses 25% of all the energy the body requires each day. And it became enormous in a very short amount of time in evolution, allowing us to leave our cousins, the great apes, behind. So the human brain is special, right? Wrong, according to Suzana Herculano-Houzel. Humans have developed cognitive abilities that outstrip those of all other animals, but not because we are evolutionary outliers. The human brain was not singled out to become amazing in its own exclusive way, and it never stopped being a primate brain. If we are not an exception to the rules of evolution, then what is the source of the human advantage? Herculano-Houzel shows that it is not the size of our brain that matters but the fact that we have more neurons in the cerebral cortex than any other animal, thanks to our ancestors' invention, some 1.5 million years ago, of a more efficient way to obtain calories: cooking. Because we are primates, ingesting more calories in less time made possible the rapid acquisition of a huge number of neurons in the still fairly small cerebral cortex—the part of the brain responsible for finding patterns, reasoning, developing technology, and passing it on through culture. Herculano-Houzel shows us how she came to these conclusions—making “brain soup” to determine the number of neurons in the brain, for example, and bringing animal brains in a suitcase through customs. The Human Advantage is an engaging and original look at how we became remarkable without ever being special.
Download or read book How We Learn written by Stanislas Dehaene and published by Penguin. This book was released on 2021-02-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. 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 them The 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.
Download or read book A Thousand Brains written by Jeff Hawkins and published by Basic Books. This book was released on 2021-03-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021
Book Synopsis Heart of the Machine by : Richard Yonck
Download or read book Heart of the Machine written by Richard Yonck and published by Arcade. This book was released on 2020-02-11 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.
Download or read book Electronic Brains written by Mike Hally and published by Granta Books (Uk). This book was released on 2005 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Account of the birth of the modern computer from 1930-1960.
Book Synopsis Who's in Charge? by : Michael S. Gazzaniga
Download or read book Who's in Charge? written by Michael S. Gazzaniga and published by Harper Collins. This book was released on 2011-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Big questions are Gazzaniga’s stock in trade.” —New York Times “Gazzaniga is one of the most brilliant experimental neuroscientists in the world.” —Tom Wolfe “Gazzaniga stands as a giant among neuroscientists, for both the quality of his research and his ability to communicate it to a general public with infectious enthusiasm.” —Robert Bazell, Chief Science Correspondent, NBC News The author of Human, Michael S. Gazzaniga has been called the “father of cognitive neuroscience.” In his remarkable book, Who’s in Charge?, he makes a powerful and provocative argument that counters the common wisdom that our lives are wholly determined by physical processes we cannot control. His well-reasoned case against the idea that we live in a “determined” world is fascinating and liberating, solidifying his place among the likes of Oliver Sacks, Antonio Damasio, V.S. Ramachandran, and other bestselling science authors exploring the mysteries of the human brain.
Book Synopsis Conscious Mind, Resonant Brain by : Stephen Grossberg
Download or read book Conscious Mind, Resonant Brain written by Stephen Grossberg and published by Oxford University Press. This book was released on 2021 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.
Book Synopsis The Master and His Emissary by : Iain McGilchrist
Download or read book The Master and His Emissary written by Iain McGilchrist and published by Yale University Press. This book was released on 2019-03-26 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of the bestselling classic – published with a special introduction to mark its 10th anniversary This pioneering account sets out to understand the structure of the human brain – the place where mind meets matter. Until recently, the left hemisphere of our brain has been seen as the ‘rational’ side, the superior partner to the right. But is this distinction true? Drawing on a vast body of experimental research, Iain McGilchrist argues while our left brain makes for a wonderful servant, it is a very poor master. As he shows, it is the right side which is the more reliable and insightful. Without it, our world would be mechanistic – stripped of depth, colour and value.
Download or read book Surfing Uncertainty written by Andy Clark and published by Oxford University Press, USA. This book was released on 2016 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.
Download or read book ENIAC in Action written by Thomas Haigh and published by MIT Press. This book was released on 2016-02-05 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work explores the conception, design, construction, use, and afterlife of ENIAC, the first general purpose digital electronic computer.
Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson
Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.
