Think Ai
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Machines That Think
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Author : New Scientist
language : en
Publisher: Hachette UK
Release Date : 2017-10-19
Machines That Think written by New Scientist and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Technology & Engineering categories.
Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think, AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat. ABOUT THE SERIES New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.
Machines That Think
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Author : Douglas Heaven
language : en
Publisher: John Murray Learning
Release Date : 2017
Machines That Think written by Douglas Heaven and has been published by John Murray Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Artificial intelligence categories.
Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think, AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat. ABOUT THE SERIES New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.
Thinking Machines
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Author : Luke Dormehl
language : en
Publisher: Penguin
Release Date : 2017-03-07
Thinking Machines written by Luke Dormehl and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-07 with Computers categories.
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.
Artificial Intelligence
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Author : Melanie Mitchell
language : en
Publisher: Penguin UK
Release Date : 2019-10-15
Artificial Intelligence written by Melanie Mitchell and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Computers categories.
'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael Gazzaniga A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures.
Think Ai
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Author : Swapnali Joshi Naik
language : en
Publisher: BPB Publications
Release Date : 2022-06-28
Think Ai written by Swapnali Joshi Naik and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Computers categories.
Develop AI based real-world Applications KEY FEATURES ● Provides a practical understanding of AI, including its concepts, tools and techniques. ● Includes step-by-by-step instructions for implementing machine learning and deep learning algorithms and features. ● Complex datasets and examples are used to expose mathematical illustrative and pseudo-coded examples. DESCRIPTION "Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Most popular Python libraries and toolkits are applied to develop intelligent and thoughtful applications. With a solid grasp of python programming and mathematics, you may use this book's statistical models and AI algorithms to meet AI needs and data insight issues. Each chapter in this book guides you swiftly through the core concepts and then directly to their implementation using Python toolkits. This book covers the techniques and skill sets required for data collection, pre-processing, installing libraries, preparing data models, training and deploying the models, and optimising model performance. The book guides you through the OpenCV toolkit for real-time picture recognition and detection, allowing you to work with computer vision. The book describes how to analyse linguistic data and conduct text mining using the NLTK toolbox and provides a brief overview of NLP ideas. Throughout the book, you will utilise major Python libraries and toolkits such as pandas, TensorFlow, scikit-learn, and matplotlib. WHAT YOU WILL LEARN ● Work with Jupyter and various Python libraries, including scikit-learn, NLTK, and TF. ● Build and implement ML models and neural networks using TensorFlow and Keras. ● Utilize OpenCV for real-time image processing, face detection, and face recognition. ● Know how to interact and process textual data using NLTK toolkit. ● Deep dive on Exploratory Data Analysis (EDA) with pandas, matplotlib and seaborn. WHO THIS BOOK IS FOR Whether you're a student, newbie or an existing AI developer, this book will help you get up to speed with various domains of AI, including ML, Deep Learning and NLP. Knowing the basics of python and understanding mathematics will be beneficial. TABLE OF CONTENTS 1. Introducing Artificial Intelligence 2. Essentials of Python and Data Analysis 3. Data Preparation and Machine Learning 4. Computer Vision using OpenCV 5. Fundamentals of Neural Networks and Deep Learning 6. Natural Language Processing
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.
How Ai Thinks
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Author : Nigel Toon
language : en
Publisher: Torva
Release Date : 2024-02-08
How Ai Thinks written by Nigel Toon and has been published by Torva this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-08 with categories.
'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read for anyone who wants to understand the past, present and future of artificial intelligence' Marc Tremblay, Distinguished Engineer, Microsoft Those who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins? We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.
Scary Smart
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Author : Mo Gawdat
language : en
Publisher: Pan Macmillan
Release Date : 2021-09-30
Scary Smart written by Mo Gawdat and has been published by Pan Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Computers categories.
A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. – Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' – Emma Gannon, Sunday Times bestselling author of The Multi-Hyphen Method and host of award-winning podcast Ctrl Alt Delete
Artificial Intelligence
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Author : F. David Peat
language : en
Publisher:
Release Date : 1988
Artificial Intelligence written by F. David Peat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Artificial intelligence categories.
Here's the new, updated version of the popular title by the author of The Looking-Glass Universe. "Entertaining and understandable . . . engrossing . . . for the serious student and the casual observer".
Making Things Think
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Author : Giuliano Pezzolo Giacaglia
language : en
Publisher:
Release Date : 2021-04-18
Making Things Think written by Giuliano Pezzolo Giacaglia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-18 with categories.