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Elon Musk On Artificial Intelligence
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Book Synopsis Elon Musk on Artificial Intelligence by : Ava Cohen
Download or read book Elon Musk on Artificial Intelligence written by Ava Cohen and published by . This book was released on 2019-03-11 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elon Musk Has been warning about Artificial Intelligence for years. This book is a collection of what Elon Musk has said about the subject over the last years.
Download or read book Superintelligence written by Nick Bostrom and published by . This book was released on 2014 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain.
Book Synopsis Our Final Invention by : James Barrat
Download or read book Our Final Invention written by James Barrat and published by Macmillan. This book was released on 2013-10-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elon Musk named Our Final Invention one of 5 books everyone should read about the future A Huffington Post Definitive Tech Book of 2013 Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI's Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
Book Synopsis This Book Will Blow Your Mind by : New Scientist New Scientist
Download or read book This Book Will Blow Your Mind written by New Scientist New Scientist and published by Nicholas Brealey. This book was released on 2018-11-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: You don't need a spaceship to travel to the extremes of science. You just need this book. What's the nature of reality? Does the universe ever end? What is time and does it even exist? These are the biggest imagination-stretching, brain-staggering questions in the universe - and here are their fascinating answers. From quantum weirdness to freaky cosmology (like white holes - which spew out matter instead of sucking it in),This Book Will Blow Your Mind takes you on an epic journey to the furthest extremes of science, to the things you never thought possible. This book will explain: Why is part of the universe missing (and how scientists finally found it) How time might also flow backwards How human head transplants might be possible (in the very near future) Whether the universe is a hologram And why we are all zombies Filled with counterintuitive stories and factoids you can't wait to share, as well as lots of did-you-knows and plenty of how-did-we-ever-not-knows, this new book from the bestselling New Scientist series will blow your mind - and then put it back together again.
Book Synopsis The Visionary Behind Grok AI by : StoryBuddiesPlay
Download or read book The Visionary Behind Grok AI written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-03 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the World of Elon Musk and Grok AI: A Technological Odyssey Elon Musk, the visionary entrepreneur behind Tesla, SpaceX, and Neuralink, has set his sights on a new frontier – artificial intelligence with a twist. Grok AI, his latest venture, promises to go beyond traditional AI, aiming for a deeper level of understanding – "grokking" information – inspired by science fiction. This comprehensive guide unpacks the fascinating story of Elon Musk and his relentless pursuit of innovation. We delve into his early life, his ventures that transformed industries, and finally, the arrival of Grok AI. Here's what you'll discover within these chapters: From Pretoria to Palo Alto: Witness Elon Musk's journey from South Africa to Silicon Valley, his determination to chase his dreams, and the birth of his pioneering companies like Zip2, X.com (later PayPal), SpaceX, and Tesla. Electrifying the Roads and Beyond Tesla: Explore the revolution Elon Musk sparked in the automotive industry with Tesla's electric vehicles, and his vision for a sustainable future with Powerwall home battery systems and SolarCity's solar panels. Tunneling Through Time with the Hyperloop: Learn about the audacious concept of the Hyperloop – a futuristic transportation system envisioned by Elon Musk that promises ultra-fast travel through a network of tubes. Merging Minds with Machines: Neuralink and the Brain-Computer Interface: Delve into the world of Neuralink, a company aiming to develop a brain-computer interface that could restore lost abilities, enhance human capabilities, and revolutionize our understanding of the brain. Reaching for the Stars with Global Internet: Starlink: Discover Starlink, Elon Musk's ambitious project to create a mega constellation of internet satellites, providing global internet access and bridging the digital divide. The Free Speech Frontier: The Acquisition of X (formerly Twitter): Explore the debate surrounding Elon Musk's acquisition of X (formerly Twitter) and his vision for free speech on the platform, considering the challenges and potential consequences. The Road to Grok AI: Inspiration and Early Development: Unravel the inspiration behind Grok AI, its goals of achieving "grokking" information, and the challenges faced during its early development. Unveiling Grok AI: Capabilities and Applications: Learn about the core functionalities of Grok AI, including its advanced natural language processing and ability to learn and adapt continuously. We'll also explore the potential applications of Grok AI in scientific discovery, engineering innovation, education, and human-computer interaction. The Future with Grok AI: Challenges, Opportunities, and the Road Ahead: We delve into the uncertainties surrounding Grok AI, such as defining "grokking" and ensuring ethical development. However, we also explore the immense opportunities Grok AI presents for accelerating scientific progress, personalizing education, and tackling global challenges. This exploration doesn't end here! We'll conclude by examining how Grok AI integrates with Elon Musk's broader vision for the future, shaped by his ventures in space exploration, clean energy, and technological innovation. Join us on this captivating journey and discover the potential of Grok AI to reshape the world as we know it!
Book Synopsis Elon Musk The Godfather of Deep Learning by : StoryBuddiesPlay
Download or read book Elon Musk The Godfather of Deep Learning written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-30 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the visionary mind of Elon Musk and his profound impact on the future of Artificial Intelligence. This captivating exploration traces Musk's journey from a curious child with a knack for code to a leading figure shaping the trajectory of deep learning. Discover how his ventures like Tesla, SpaceX, and OpenAI are revolutionizing various industries and pushing the boundaries of what AI can achieve. Uncover the core principles of deep learning and its potential to solve humanity's most pressing challenges, from sustainable energy and healthcare advancements to revolutionizing transportation and space exploration. Explore Musk's vision for a future where humans and AI collaborate symbiotically, leveraging the strengths of both to create a more prosperous and sustainable world. This comprehensive exploration delves into: Musk's early fascination with technology and his pivotal role in the rise of Silicon Valley giants. The power of deep learning and its ability to mimic the human brain's learning processes. The potential benefits and existential risks associated with the development of Artificial General Intelligence (AGI). How Neuralink's brain-computer interfaces could bridge the mind-machine gap and redefine human capabilities. Musk's unwavering commitment to responsible AI development and his advocacy for international collaboration and ethical considerations. This is a must-read for anyone fascinated by the transformative power of AI and the visionary mind of Elon Musk, the man who dares to "grok" the future and shape it for the better.
Book Synopsis Our Final Invention by : James Barrat
Download or read book Our Final Invention written by James Barrat and published by Macmillan. This book was released on 2013-10 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elon Musk named Our Final Invention one of 5 books everyone should read about the future A Huffington Post Definitive Tech Book of 2013 Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI's Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
Book Synopsis Elon Musk Grok Ai by : StoryBuddiesPlay
Download or read book Elon Musk Grok Ai written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-30 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the World of Deep Learning: A Comprehensive Guide for Beginners Deep learning, a revolutionary subfield of artificial intelligence, is rapidly transforming industries and reshaping our world. This comprehensive guide unlocks the secrets of this powerful technology, empowering you to understand its core principles, explore its applications, and stay ahead of the curve in this exciting field. Whether you're a tech enthusiast, aspiring developer, or simply curious about the future of AI, this guide provides a clear and accessible roadmap to deep learning. We'll begin by delving into the fascinating world of the human brain, the inspiration behind artificial neural networks. You'll discover how these networks mimic the brain's structure and function to learn from vast amounts of data, empowering them to perform tasks like image recognition, natural language processing, and even self-driving cars. As we progress, we'll explore the building blocks of deep learning: the essential components like neurons, activation functions, and loss functions. You'll witness the power of gradient descent and backpropagation, the algorithms that train deep learning models to continuously improve their performance. By building your own simple deep learning model using popular libraries like TensorFlow or PyTorch, you'll gain hands-on experience and solidify your understanding of these core concepts. Data, the fuel of intelligence, plays a crucial role in deep learning. We'll delve into data collection techniques, pre-processing methods, and the importance of working with diverse and high-quality datasets. You'll discover how convolutional neural networks (CNNs) excel at analyzing images, while recurrent neural networks (RNNs) are specifically designed to handle sequential data like text and speech. Deep reinforcement learning (DRL) takes center stage as we explore how AI agents learn through trial and error, interacting with their environment and adapting their behavior based on rewards. This opens doors to training intelligent systems capable of handling complex real-world challenges in dynamic environments. But the journey doesn't end there. We'll explore how to combine different deep learning techniques, build comprehensive projects like object detection and image captioning, and leverage powerful frameworks like TensorFlow and PyTorch. Practical considerations like computational resources, monitoring, and ethical concerns will be addressed, ensuring you're equipped with the knowledge and tools to navigate the real-world application of deep learning. Get ready to witness the impact of deep learning across various industries, from medical diagnosis and financial fraud detection to scientific research and personalized user experiences. We'll explore the challenges and opportunities that lie ahead, including ethical considerations like bias, explainability, and data privacy. As we delve into emerging trends like generative adversarial networks (GANs), advancements in unsupervised and reinforcement learning, and the exciting potential of neuromorphic computing, you'll gain a glimpse into the future of AI and its transformative potential for our world. This comprehensive guide is your gateway to the fascinating world of deep learning. Dive in, unlock its potential, and become part of the revolution shaping the future of technology.
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.
Download or read book Life 3.0 written by Max Tegmark and published by Vintage. This book was released on 2017-08-29 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
Book Synopsis Architects of Intelligence by : Martin Ford
Download or read book Architects of Intelligence written by Martin Ford and published by Packt Publishing Ltd. This book was released on 2018-11-23 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.
Book Synopsis Hands-On Deep Learning Algorithms with Python by : Sudharsan Ravichandiran
Download or read book Hands-On Deep Learning Algorithms with Python written by Sudharsan Ravichandiran and published by Packt Publishing Ltd. This book was released on 2019-07-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key FeaturesGet up-to-speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook Description Deep learning is one of the most popular domains in the AI space, allowing you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into RNNs and LSTM and how to generate song lyrics with RNN. Next, you will master the math for convolutional and capsule networks, widely used for image recognition tasks. Then you learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Afterward, you will explore various GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects. What you will learnImplement basic-to-advanced deep learning algorithmsMaster the mathematics behind deep learning algorithmsBecome familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and NadamImplement recurrent networks, such as RNN, LSTM, GRU, and seq2seq modelsUnderstand how machines interpret images using CNN and capsule networksImplement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGANExplore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAEWho this book is for If you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Book Synopsis Human Compatible by : Stuart Jonathan Russell
Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.
Book Synopsis Artificial Intelligence and the Future of Us by : Frances Mahan
Download or read book Artificial Intelligence and the Future of Us written by Frances Mahan and published by iUniverse. This book was released on 2019-11-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, I want to spark the curiosity of you, the reader to imagine a future world unlike you have never seen before in movies or any other books you have read. Think of a future where everything you think and create with your imagination could become possible. This book is about using the gift of imagination as you go deep into the conscious levels of the mind to bring forth multiple ideas that will become a reality one day. As we, this new generation of Artificial Intelligence enthusiast use the mind to create the ultimate thinking machine and connect it to a brain, we see how this interaction with innovation creates unexpected results. Frances Mahan have a deep insatiable curiosity to understand, to learn and know how neuroscience and the powerful mysteries of the brain and its neurons influences how we think and communicate. She is eager to understand at a deep conscious level of her mind how the universe with the power of the conscious mind work together. Her interest to know more about the universe began when she went deep into a meditation and discover her ability to see beyond the now; She learned how it is possible for ideas to flow easily into the mind if we concentrate deeply at a conscious level in meditation. She was able to see images of the universe in a meditation with her eyes closed. A mystery she still pondering upon even today. The rest is in this book.
Book Synopsis Problems with AI (Artificial Intelligence) by : Benjamin Qochuk
Download or read book Problems with AI (Artificial Intelligence) written by Benjamin Qochuk and published by . This book was released on 2020-09-27 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand why Elon Musk fears AI This book "Problems with AI" discusses the Problems with AI in an insightful way and does not require the reader to have a strong hold on Machine Learning concepts. This will give you a strong idea of issues with Machine Learning and link them with Machine Learning concepts so that you can think independently. In fact, this book is a perfect fit for anyone who have discussions on AI among friends. Rise above your peers and excel. This is a perfect and must read if: -You want to understand why leaders like Elon Musk have fears regarding AI as a potential extinction reason for humans.-You want to understand the nature of problems and think about these independently in your free time.-You want to participate in debates or friend groups discussing Artificial Intelligence (AI topics).-You want to be a Philosopher of our Future with AI Let us take some examples so that you can visualize the nature of problems before we get into insightful discussions: -Mobbing the floor will be an easy task for a robot but doing so on an electric surface can be dangerous. Does the robot identify potential threats in such a simple task? Is experimentation viable?-A cleaning robot might be rewarded based on how many places it cleans, but this gets hacked: the robot may think the office is clean if it simply closes its eyes-A robot working in a factory should be more robust than a robot working in an office.-A cleaning robot's success in cleaning up the office is proportional to the rate of cleaning supplies consumption. However, if we base the robot's reward on this, it might use more supplies than required for success.-If a robot needs to learn about a lion, should it buy a lion as a pet or study information resources on lions?These are some of the problems which are challenging even today. Such problems come up in ancient stories. For example: Barbereek who is considered to be an AI robot, was identified to have a flaw and was turned off before a battle. The story is captured in Mahabharata, a major Sanskrit epic of ancient India and will be an interesting read for those who link AI technology to ancient civilizations/ mythical texts. The use of Artificial Intelligence is more widespread even today. Read this book and save humanity.
Download or read book AI written by Margaret A. Boden and published by Oxford University Press. This book was released on 2016-05-19 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible.
