Download or read book Parsing the Turing Test written by Robert Epstein and published by Springer Science & Business Media. This book was released on 2008-12-01 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.
Download or read book Parsing the Turing Test written by Robert Epstein and published by Springer Science & Business Media. This book was released on 2007-11-23 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.
Download or read book The Most Human Human written by Brian Christian and published by Anchor. This book was released on 2012-03-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This
Download or read book Turing s Imitation Game written by Kevin Warwick and published by Cambridge University Press. This book was released on 2016-09-22 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can you tell the difference between talking to a human and talking to a machine? Or, is it possible to create a machine which is able to converse like a human? In fact, what is it that even makes us human? Turing's Imitation Game, commonly known as the Turing Test, is fundamental to the science of artificial intelligence. Involving an interrogator conversing with hidden identities, both human and machine, the test strikes at the heart of any questions about the capacity of machines to behave as humans. While this subject area has shifted dramatically in the last few years, this book offers an up-to-date assessment of Turing's Imitation Game, its history, context and implications, all illustrated with practical Turing tests. The contemporary relevance of this topic and the strong emphasis on example transcripts makes this book an ideal companion for undergraduate courses in artificial intelligence, engineering or computer science.
Download or read book Artificial Intelligence with Python written by Alberto Artasanchez and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Download or read book A Practical Guide to Brain Computer Interfacing with BCI2000 written by Gerwin Schalk and published by Springer Science & Business Media. This book was released on 2010-04-03 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is BCI2000? BCI2000 is a general-purpose software platform for brain–computer interface (BCI) research. It can also be used for a wide variety of data acquisition, stimulus p- sentation, and brain monitoring applications. BCI2000 has been in development since 2000 in a project led by the Brain–Computer Interface R&D Program at the Wadsworth Center of the New York State Department of Health in Albany, New York, USA, with substantial contributions by the Institute of Medical Psychology and Behavioral Neurobiology at the University of Tübingen, Germany. In addition, many laboratories around the world, most notably the BrainLab at Georgia State University in Atlanta, Georgia, and Fondazione Santa Lucia in Rome, Italy, have also played an important role in the project’s development. Mission The mission of the BCI2000 project is to facilitate research and the development of applications in all areas that depend on real-time acquisition, processing, and feedback of biosignals. Vision Our vision is that BCI2000 will become a widely used software tool for diverse areas of research and development.
Download or read book The Turing Test written by James H. Moor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives the most comprehensive, in depth and contemporary assessment of this classic topic in artificial intelligence. It is the first to elaborate in such detail the numerous conflicting points of view on many aspects of this multifaceted, controversial subject. It offers new insights into Turing's own interpretation and is essential reading for research on the Turing test and for teaching undergraduate and graduate students in philosophy, computer science, and cognitive science.
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.
Download or read book Matrix Mathematics written by Dennis S. Bernstein and published by Princeton University Press. This book was released on 2009-07-26 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter in this book describes relevant background theory followed by specialized results. Hundreds of identities, inequalities, and matrix facts are stated clearly with cross references, citations to the literature, and illuminating remarks.
Download or read book Glass in Building written by David Button and published by Butterworth-Heinemann. This book was released on 1993 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the nature and performance of glass and its relationship with the building occupant. Prepared by a team of expert contributors from Pilkington Glass Ltd., the volume explores the visual, thermal, mechanical, and protective functions so that specifiers of glass can fully understand what they can achieve with it. Numerous line diagrams help to explain relevant points of theory, while built examples are illustrated by color photographs throughout the text. Primarily for architects and design professionals. Annotation copyright by Book News, Inc., Portland, OR
Download or read book Avogadro Corp written by William Hertling and published by William Hertling. This book was released on 2014-04-09 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: David Ryan is the designer of ELOPe, an email language optimization program, that if successful, will make his career. But when the project is suddenly in danger of being canceled, David embeds a hidden directive in the software accidentally creating a runaway artificial intelligence. David and his team are initially thrilled when the project is allocated extra servers and programmers. But excitement turns to fear as the team realizes that they are being manipulated by an A.I. who is redirecting corporate funds, reassigning personnel and arming itself in pursuit of its own agenda. WINNER SCIENCE FICTION DIY BOOK FESTIVAL 2011-2012 "Avogadro Corp is a tremendous book that every single person needs to read. In the vein of Daniel Suarez's Daemon and Freedom(TM), William's book shows that science fiction is becoming science fact. Avogadro Corp describes issues, in solid technical detail, that we are dealing with today that will impact us by 2015, if not sooner. Not enough people have read these books. It's a problem for them, but not for the [emergent] machines." -- Brad Feld, managing directory Foundry Group, co-founder Techstars "Highly entertaining, gripping, thought inspiring book. Don’t start without the time to finish — it won’t let you go.” -- Gifford Pinchot III, founder Bainbridge Graduate Institute, author THE INTELLIGENT ORGANIZATION "An alarming and jaw-dropping tale about how something as innocuous as email can subvert an entire organization. I found myself reading with a sense of awe, and read it way too late into the night." -- Gene Kim, author of VISIBLE OPS "A fictional world where Portland is the hub for the most exciting advancements in technology... [J]am packed with great references to deep Portland culture...and Portlandia-type references" -- SILICON FLORIST
Download or read book Turing s Imitation Game written by Kevin Warwick and published by Cambridge University Press. This book was released on 2016-09-22 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful for undergraduate study, this book provides an account of the Turing Test, its history, context and implications, illustrated with practical tests.
Download or read book Teen 2 0 written by Robert Epstein and published by Linden Publishing. This book was released on 2010-02-24 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: National Indie Excellence Awards, first prize in the Parenting and Family category Arguing that adolescence is an unnecessary period of life that people are better off without, this groundbreaking study shows that teen confusion and hardships are caused by outmoded systems that were designed to destroy the continuum between childhood and adulthood. Documenting how teens are isolated from adults and are forced to look to their media-dominated peers for knowledge, this discussion contends that by infantilizing young people, society does irrevocable harm to their development and well-being. Instead, parents, teachers, employers, and others must rediscover the adults in young people by giving them authority and responsibility as soon as they exhibit readiness. Teens are highly capable--in some ways more than adults--and this landmark discussion offers paths for reaching and enhancing the competence in America's youth.
Download or read book Speech Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Foundations of Statistical Natural Language Processing written by Christopher Manning and published by MIT Press. This book was released on 1999-05-28 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Download or read book The Case Against Adolescence written by Robert Epstein and published by Quill Driver Books. This book was released on 2007 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book argues that adolescence is an unnecessary period of life that people are better off without. Robert Epstein, former editor-in-chief of "Psychology Today," shows that teen turmoil is caused by outmoded systems put into place a century ago which destroyed the continuum between childhood and adulthood. Where this continuum still exists in other countries, there is no adolescence. Isolated from adults, American teens learn everything they know from their media-dominated peers--"the last people on earth they should be learning from," says Epstein. Epstein explains that our teens are highly capable--in some ways more capable than adults--and argues strongly against "infantilizing" young people. We must rediscover "the adult in every teen," he says, by giving young people adult authority and responsibility as soon as they can demonstrate readiness. This landmark book will change the thinking about teens for decades to come.
Download or read book Applied Natural Language Processing in the Enterprise written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2021-05-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production