Download or read book The Boundaries of Machine Intelligence written by F.. Lara Pozuelo and published by . This book was released on 1969 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence Its Scope and Limits written by J.H. Fetzer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psycholo gy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial in telligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these prob lems and domains, empirical, experimental, and methodological studies will also appear from time to time. The perspective that prevails in artificial intelligence today suggests that the theory of computability defines the boundaries of the nature of thought, precisely because all thinking is computational. This paradigm draws its inspiration from the symbol-system hypothesis of Newell and Simon and finds its culmination in the computational conception of lan guage and mentality. The "standard conception" represented by these views is subjected to a thorough and sustained critique in the pages of this book. Employing a distinction between systems for which signs are signif icant for the users of a system and others for which signs are significant for use by a system, I have sought to define the boundaries of what AI, in principle, may be expected to achieve.

Download or read book The Boundaries of Machine Intelligence A Thesis written by Blas F. LARA POZUELO and published by . This book was released on 1969 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 The Boundaries of Machine Intelligence written by Blas F. Lara Pozuelo and published by . This book was released on 1971 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Boundaries of Humanity written by James J. Sheehan and published by Univ of California Press. This book was released on 2022-05-13 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new, if not necessarily compatible, insights. What have these two fields in common? Have they affected the way we define humanity? These and other timely questions are addressed with colorful individuality by the authors of The Boundaries of Humanity. Leading researchers in both sociobiology and artificial intelligence combine their reflections with those of philosophers, historians, and social scientists, while the editors explore the historical and contemporary contexts of the debate in their introductions. The implications of their individual arguments, and the often heated controversies generated by biological determinism or by mechanical models of mind, go to the heart of contemporary scientific, philosophical, and humanistic studies. Contributors: Arnold I. Davidson, John Dupré, Roger Hahn, Stuart Hampshire, Evelyn Fox Keller, Melvin Konner, Alan Newell, Harriet Ritvo, James J. Sheehan, Morton Sosna, Sherry Turkle, Bernard Williams, Terry Winograd This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1991.

Download or read book Smarter Than Us Print written by Stuart Armstrong and published by Ingram. This book was released on 2014-02-01 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: What happens when machines become smarter than us? Forget images of Terminators and Cylons: artificial intelligences (AIs) will achieve power through their intelligence, not brute strength. Just as humans shape the world in ways beyond the understanding of chimpanzees, AIs will shape our world, transforming it--whether slowly or blindingly fast--into whatever they are programmed to prefer. The future could be filled with joy, art, compassion, and beings living worthwhile and wonderful lives--but only if we're able to precisely define what a "good" world is, and skilled enough to describe it perfectly to a computer program. Philosophers have tried for thousands of years to define the ideal world, with little to show for it. The prospect of artificial intelligence gives this project a new urgency. Our values are fragile: miss a single piece of the puzzle, and the whole system collapses into a world empty of worth. And then comes the daunting task of encoding the entire system of human values for an AI: explaining them to a mind that is alien to us, defining every ambiguous term, clarifying every edge case. AIs, like computers, will do what we say--which is not necessarily what we mean. Though an understanding of the problem is only beginning to spread, researchers from fields ranging from philosophy to computer science to economics are working together to conceive and test new approaches. The problem of AI safety isn't easy, but it is solvable. Are we up to the challenge?

Download or read book Beyond Intelligence Exploring the Boundaries of Human and Machine Minds written by Nibedita Sahu and published by Nibedita Sahu. This book was released on 2023-06-05 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the depths of the human mind and the changing capacities of robots on this fascinating voyage. We explore the complex operations of the human brain and the promise of artificial intelligence in this stimulating investigation. Learn about the significant consequences of collaboration between humans and machines, the mysteries of human cognition, and the emergence of intelligent machines.

Download or read book Humans Animals Machines written by Glen A. Mazis and published by SUNY Press. This book was released on 2008-09-04 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the overlap and blurring of boundaries among humans, animals, and machines.

Download or read book Leaps and Boundaries written by The Expert Panel on Artificial Intelligence for Science and Engineering and published by Council of Canadian Academies. This book was released on 2022-05-10 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in artificial intelligence (AI) have the potential to transform the nature of scientific inquiry and lead to significant innovations in engineering. To date, AI has primarily been used alongside existing design and discovery practices to help researchers analyze or interpret data, e.g., predict the structure of proteins, track insect biodiversity, etc. However, AI will play a much bigger role in design and discovery in the near future ― developing novel scientific hypotheses and experiments and creating new engineering design processes ― all with minimal human involvement. While AI has the potential to spur innovation and further scientific understanding beyond the limits of the human mind and abilities, it could also exacerbate inequities, perpetuate human biases, and even create new ones. Maximizing the benefits of AI and avoiding its pitfalls, will require addressing real and imminent challenges. Leaps and Boundaries explores the opportunities, challenges, and implications of deploying AI technologies to enable scientific and engineering research design and discovery in Canada.

Download or read book Humans Animals Machines written by Glen A. Mazis and published by State University of New York Press. This book was released on 2008-09-04 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the overlap and blurring of boundaries among humans, animals, and machines.

Download or read book Artificial Intelligence Robots and the Law written by Michael Guihot and published by . This book was released on 2020 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging exploration of legal and ethical issues arising from developments in AI and robotics.

Download or read book Elements of Machine Learning written by Pat Langley and published by Morgan Kaufmann. This book was released on 1996 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is the computational study of algorithms that improve performance based on experience, and this book covers the basic issues of artificial intelligence. Individual sections introduce the basic concepts and problems in machine learning, describe algorithms, discuss adaptions of the learning methods to more complex problem-solving tasks and much more.

Download or read book Artificial Intelligence Pushing Boundaries Is It Worth It written by B. B. Jankoski and published by Pef Thirteen, LLC. This book was released on 2023-11-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future is less fearsome when you know what you're facing. Shape AI's future by actively participating in this technology-even if you've never considered yourself a techie. Bring up the subject of AI and you're liable to receive opinions from opposite sides of the spectrum. On one side, you'll find the firm supporters of AI-those who are excited about the shortcuts afforded by ChatGPT, or keen to harness AI's game-changing abilities in spheres such as healthcare, finance, or robotics. On the other side are the naysayers-those who either turn a blind eye to the rapid advancement of AI or those who feel that AI will never reach the level of sophistication required to take over their jobs. Yet AI is here to stay and if you want to avoid being stampeded by its progress, then you might as well be one of its drivers. This doesn't mean you have to be an AI developer or even work in tech. It simply involves being aware of specific ethical considerations, the core benefits and disadvantages of using AI, and the sectors whose jobs are most likely to be replaced by AI. It additionally means using AI to your benefit by harnessing the most powerful AI tools available-both in your profession and in your personal life. And that is exactly why this book was written. Consider it a comprehensive guide for all you need to become more involved in AI. Instead of being a passive observer to its onslaught, you can form part of a movement that decides where this technology goes and what role you wish to play. Here's a snippet of what you'll find inside: The fascinating history of how AI is modeled on human neural networks - are we on our way to artificial superintelligence? 7 main applications of AI - plus all its benefits and drawbacks, and how it has already changed everyday life What part can you play in the development of AI - actions you can take to ensure its responsible use and development 8 top AI trends - how to choose the best tool for your task, whether you are interested in improving your productivity, project management skills, content creation, and more. What does the future of AI hold? - How our jobs, beliefs, and social norms will all be affected by the AI phenomenon The biggest ethical challenges posed by AI, according to industry leaders - including job insecurity, unfair outcomes, privacy concerns, and bias How you can advocate for ethical AI practices, and put a stop to the violation of your privacy And so much more. It's logical to hope that technological advances will always be for the best. And without a doubt, artificial intelligence has the potential to create a fairer, more equitable, and kinder society. But it also has its disadvantages-and knowing what these challenges are (and how to negotiate them) is vital if you wish to make the most of AI, without letting it sweep you up.

Download or read book Machine Intelligence written by Suresh Samudrala and published by Notion Press. This book was released on 2019-01-11 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and machine learning are considered as hot technologies of this century. As these technologies move from research labs to enterprise data centers, the need for skilled professionals is continuously on the rise. This book is intended for IT and business professionals looking to gain proficiency in these technologies but are turned off by the complex mathematical equations. This book is also useful for students in the area of artificial intelligence and machine learning to gain a conceptual understanding of the algorithms and get an industry perspective. This book is an ideal place to start your journey as • Core concepts of machine learning algorithms are explained in plain English using illustrations, data tables and examples • Intuitive meaning of the mathematics behind popular machine learning algorithms explained • Covers classical machine learning, neural networks and deep learning algorithms At a time when the IT industry is focusing on reskilling its vast human resources, Machine intelligence is a very timely publication. It has a simple approach that builds up from basics, which would help software engineers and students looking to learn about the field as well as those who might have started off without the benefit of a structured introduction or sound basics. Highly recommended. - Siddhartha S, Founder and CEO of Intain - Financial technology startup Suresh has written a very accessible book for practitioners. The book has depth yet avoids excessive mathematics. The coverage of the subject is very good and has most of the concepts required for understanding machine learning if someone is looking for depth. For senior management, it will provide a good overview. It is well written. I highly recommend it. - Whee Teck ONG, CEO of Trusted Source and VP of Singapore Computer Society

Download or read book Human in the Loop Machine Learning written by Robert Munro and published by Simon and Schuster. This book was released on 2021-07-20 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.

Download or read book Machine Intelligence and Big Data Analytics for Cybersecurity Applications written by Yassine Maleh and published by Springer Nature. This book was released on 2020-12-14 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.