On The Path To Ai
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On The Path To Ai
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Author : Thomas D. Grant
language : en
Publisher: Springer Nature
Release Date : 2020-06-02
On The Path To Ai written by Thomas D. Grant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
On The Path To Ai
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Author : Thomas D Grant
language : en
Publisher:
Release Date : 2020-10-09
On The Path To Ai written by Thomas D Grant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two 'revolutions' in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age-prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
On The Path To Ai
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Author : Thomas D Grant
language : en
Publisher:
Release Date : 2020-10-09
On The Path To Ai written by Thomas D Grant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two 'revolutions' in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age-prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
On The Path To Ai
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Author : Thomas D Grant
language : en
Publisher:
Release Date : 2020
On The Path To Ai written by Thomas D Grant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
On The Path To Ai
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Author : Thomas D. Grant
language : en
Publisher: Palgrave Macmillan
Release Date : 2020-05-30
On The Path To Ai written by Thomas D. Grant and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-30 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
The Path To Posthumanity
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Author : Ben Goertzel
language : en
Publisher: Academica Press,LLC
Release Date : 2006
The Path To Posthumanity written by Ben Goertzel and has been published by Academica Press,LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
Describing the near future technologies and scientific changes that will affect human life in the next 25 years, this book covers key topics in artificial intelligence, as well as looking at computing and biotechnology.
Ai Your Personal Mentor On The Path To Success
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Author : M.B. Chatfield
language : en
Publisher:
Release Date :
Ai Your Personal Mentor On The Path To Success written by M.B. Chatfield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Self-Help categories.
In the age of artificial intelligence, there is a new way to achieve your goals. AI can be your personal mentor, helping you to learn, grow, and succeed. In this book, you will learn how to: Use AI to set and achieve your goals Develop your skills and knowledge Be more productive and efficient Make better decisions Build relationships and networks AI is a powerful tool that can help you to reach your full potential. In AI: Your Personal Mentor on the Path to Success, you will learn how to use AI to achieve your goals and live your best life. This book is for anyone who wants to: Be more successful in their career Learn new things Be more productive Make better decisions Build relationships If you are looking for a way to improve your life, AI: Your Personal Mentor on the Path to Success is the perfect book for you. Order today and start your journey to success!
Thinking Machines
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Author : V T Sreekumar
language : en
Publisher:
Release Date : 2023-12-15
Thinking Machines written by V T Sreekumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with categories.
The Simple Path To Learn Artificial Intelligence And Machine Learning
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Author : Charles Nehme
language : en
Publisher: Charles Nehme
Release Date :
The Simple Path To Learn Artificial Intelligence And Machine Learning written by Charles Nehme and has been published by Charles Nehme this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
What is AI? Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. What is ML ? Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence Enjoy this introductory ebook
The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Harvard University Press
Release Date : 2021-04-06
The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.
“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.