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It will soon be impossible to tell what is real and what is fake.
Recent advances in AI mean that by scanning images of a person (for example using Facebook), a powerful machine learning system can create new video images and place them in scenarios and situations which never actually happened. When combined with powerful voice AI, the results are utterly convincing.
So-called 'Deep Fakes' are not only a real threat for democracy but they take the manipulation of voters to new levels. They will also affect ordinary people. This crisis of misinformation we are facing has been dubbed the 'Infocalypse'.
Using her expertise from working in the field, Nina Schick reveals shocking examples of Deep Fakery and explains the dangerous political consequences of the Infocalypse, both in terms of national security and what it means for public trust in politics. She also unveils what it means for us as individuals, how Deep Fakes will be used to intimidate and to silence, for revenge and fraud, and how unprepared governments and tech companies are.
As a political advisor to select technology firms, Schick tells us what we need to do to prepare and protect ourselves. Too often we build the cool technology and ignore what bad guys can do with it before we start playing catch-up. But when it comes to Deep Fakes, we urgently need to be on the front foot.
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: * a general functional optimization framework; * thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; * comparison of classical and neural-network based methods of approximate solution; * bounds to the errors of approximate solutions; * solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; * applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and * numerous, numerically detailed examples. The authors' diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.
'A fascinating hybrid. Part freewheeling history of the rise of the modern autonomous vehicle, part intimate memoir from an insider who was on the front lines for much of that history, Autonomy will more than bring readers up to speed on one of today's most closely watched technologies' Brian Merchant, author of The One Device From the ultimate insider - a former General Motors executive and current advisor to the Google Self-Driving Car project - comes the definitive story of the race between Google, Tesla and Uber to create the driverless car. We stand on the brink of a technological revolution. In the near future, most of us will not own automobiles, but will travel instead in driverless electric vehicles summoned at the touch of an app. We will be liberated from driving, so that the time we spend in cars can be put to more productive use. We will prevent more than 90 percent of car crashes, provide freedom of mobility to the elderly and disabled and decrease our dependence on fossil fuels. Autonomy tells the story of the maverick engineers and computer experts who triggered the revolution. Lawrence Burns - long-time adviser to the Google self-driving car project (now Waymo) and former corporate vice president of research, development and planning at General Motors - provides the perfectly timed history of how we arrived at this point, in a character-driven and vivid account of the unlikely thinkers who accomplished what billion-dollar automakers never dared. Beginning at a 2004 off-road robot race across the Mojave Desert with a million-dollar purse and continuing up to the current stampede to develop driverless technology, Autonomy is a page-turning chronicle of the past, a diagnosis of the present and a prediction of the future - the ultimate guide to understanding the driverless car and to navigating the revolution it has sparked.
How the history of technological revolutions can help us better understand economic and political polarization in the age of automation The Technology Trap is a sweeping account of the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends broadly mirror those in our current age of automation. But, just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
'Rana el Kaliouby's vision for how technology should work in parallel with empathy is bold, inspired and hopeful' Arianna Huffington, founder and CEO of Thrive Global 'This lucid and captivating book by a renowned pioneer of emotion-AI tackles one of the most pressing issues of our time: How can we ensure a future where this technology empowers rather than surveils and manipulates us?' Max Tegmark, professor of physics at Massachusetts Institute of Technology and author of Life 3.0 We are entering an empathy crisis. Most of our communication is conveyed through non-verbal cues - facial expressions, tone of voice, body language - nuances that are completely lost when we interact through our smartphones and other technology. The result is a digital universe that's emotion-blind - a society lacking in empathy. Rana el Kaliouby discovered this when she left Cairo, a newly-married, Muslim woman, to take up her place at Cambridge University to study computer science. Many thousands of miles from home, she began to develop systems to help her better connect with her family. She started to pioneer the new field of Emotional Intelligence (EI). She now runs her company, Affectiva (the industry-leader in this emerging field) that builds EI into our technology and develops systems that understand humans the way we understand one another. In a captivating memoir, Girl Decoded chronicles el Kaliouby's mission to humanise technology and what she learns about humanity along the way.
The next great technological disruption is coming.
The titans of Silicon Valley are racing to build the last, best computer that the world will ever need. They know that whoever successfully creates it will revolutionise our relationship with technology – and make billions of dollars in the process. They call it conversational AI.
Computers that can speak and think like humans do may seem like the stuff of science fiction, but they are rapidly moving towards reality. In Talk to Me, veteran tech journalist James Vlahos meets the researchers at Google, Amazon and Apple who are leading the way to a voice computing revolution. He explores how voice tech will transform every sector of society: handing untold new powers to businesses, upending traditional notions of privacy, revolutionising access to information, and fundamentally altering the way we understand human consciousness. And he even tries to understand the significance of the revolution firsthand – by building a chatbot version of his terminally ill father.
Vlahos’s research leads him to one fundamental question: What happens when our computers become as articulate, compassionate, and creative as we are?
'Vital reading. This is the book on artificial intelligence we need right now.' Mike Krieger, cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our modern lives influencing the news we consume, whether we get a mortgage, and even which friends wish us happy birthday. But as algorithms make ever more decisions on our behalf, how do we ensure they do what we want? And fairly? This conundrum - dubbed 'The Alignment Problem' by experts - is the subject of this timely and important book. From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, bestselling author Brian Christian explains how, as AI develops, we rapidly approach a collision between artificial intelligence and ethics. If we stand by, we face a future with unregulated algorithms that propagate our biases - and worse - violate our most sacred values. Urgent and fascinating, this is an accessible primer to the most important issue facing AI researchers today.
In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee's opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.
Why couldn't Michael Jordan, master athlete that he was, hit a baseball? Why can't modern robotics come close to replicating the dexterity of a five-year-old? Why do good quarterbacks always seem to know where their receivers are? In this deeply researched book, Sports and Business reporter Zach Schonbrun explores what actually drives human movement and its spectacular potential. The groundbreaking work of two neuroscientists in Major League Baseball is only the beginning. Schonbrun traces the fascinating history of motor research and details how new investigations in the brain are helping explain the extraordinary skills of talented performers like Stephen Curry, Tom Brady, Serena Williams, and Lionel Messi; as well as musical virtuosos, dancers, rock climbers, race-car drivers, and more. Whether it is timing a 95-mph fastball or reaching for a coffee mug, movement requires extraordinary computation that many take for granted - until now. The Performance Cortex ushers in a new way of thinking about the athletic gifts we strain to see in our cavernous arenas. It's not about the million-dollar arm anymore. It's about the million-dollar brain.
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called "artificial intelligence." They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they-and we-succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture-and finds a story by turns harrowing and hopeful.
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for wide'' data (p bigger than n), including multiple testing and false discovery rates.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Finite-state methods are the most efficient mechanisms for analysing textual and symbolic data, providing elegant solutions for an immense number of practical problems in computational linguistics and computer science. This book for graduate students and researchers gives a complete coverage of the field, starting from a conceptual introduction and building to advanced topics and applications. The central finite-state technologies are introduced with mathematical rigour, ranging from simple finite-state automata to transducers and bimachines as 'input-output' devices. Special attention is given to the rich possibilities of simplifying, transforming and combining finite-state devices. All algorithms presented are accompanied by full correctness proofs and executable source code in a new programming language, C(M), which focuses on transparency of steps and simplicity of code. Thus, by enabling readers to obtain a deep formal understanding of the subject and to put finite-state methods to real use, this book closes the gap between theory and practice.
Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)--twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here--whether we use them or not. This book helps you lean into the curve and take advantage of AI's unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the "what" to show you the "how" How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman's terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Have some evil fun inside your head! This wickedly inventive guide offers 19 build-it-yourself projects featuring high-tech devices that can map, manipulate, and even improve the greatest computer on earth-the human brain. Every project inside Mind Performance Projects for the Evil Genius is perfectly safe and explores cutting-edge concepts, such as brain wave mapping, lucid dream control, and hypnosis. Using easy-to-find parts and tools, this do-it-yourself book offers a wide variety of brain-bending bio hacks you can accomplish on your own. You'll find detailed guidelines, parameters, schematics, code, and customization tips for each project in the book. The only limit is your imagination! Mind Performance Projects for the Evil Genius: Features step-by-step instructions, complete with helpful illustrations Allows you to customize each project for your purposes Discusses the underlying principles behind the projects Removes the frustration factor-all required parts are listed, along with sources Build these and other lid-flipping gadgets: Biofeedback device Reaction speedometer Body temperature monitor Heart rate monitor Lie detector White noise generator Waking reality tester Audio dream director Lucid dream mask Alpha meditation goggles Clairvoyance tester Visual hypnosis aid Color therapy device Synchro brain machine
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors.
This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.
As surveillance creeps into every corner of our lives, Carissa Veliz exposes how our personal data is giving too much power to big tech and governments, why that matters, and what we can do about it. Have you ever been denied insurance, a loan, or a job? Have you had your credit card number stolen? Do you have to wait too long when you call customer service? Have you paid more for a product than one of your friends? Have you been harassed online? Have you noticed politics becoming more divisive in your country? You might have the data economy to thank for all that and more. The moment you check your phone in the morning you are giving away your data. Before you've even switched off your alarm, a whole host of organisations have been alerted to when you woke up, where you slept, and with whom. Our phones, our TVs, even our washing machines are spies in our own homes. Without your permission, or even your awareness, tech companies are harvesting your location, your likes, your habits, your relationships, your fears, your medical issues, and sharing it amongst themselves, as well as with governments and a multitude of data vultures. They're not just selling your data. They're selling the power to influence you and decide for you. Even when you've explicitly asked them not to. And it's not just you. It's all your contacts too, all your fellow citizens. Privacy is as collective as it is personal. Digital technology is stealing our personal data and with it our power to make free choices. To reclaim that power, and our democracy, we must take back control of our personal data. Surveillance is undermining equality. We are being treated differently on the basis of our data. What can we do? The stakes are high. We need to understand the power of data better. We need to start protecting our privacy. And we need regulation. We need to pressure our representatives. It is time to pull the plug on the surveillance economy. Insightful, terrifying, practical: Privacy is Power highlights the implications of our laid-back attitude to data and sets out how we can take back control. If you liked The Age of Surveillance Capitalism, you'll love Privacy is Power because it provides a philosophical perspective on the politics of privacy, and offers very practical solutions, both for policymakers and ordinary citizens.
How the history of technological revolutions can help us better understand economic and political polarization in the age of automation From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution. Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today's despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there's no assurance that positive attitudes to technology will persist. The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.
Be prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that it'll be considered 'mainstream' in the next 5 - 10 years. It'll change the way we as individuals interact with data and systems--and the way we run our businesses. Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management). Shows you how users interact with the system in natural language Explains how cognitive analysis/AI can source 'big data' Provides a roadmap for implementation Gets you up to speed now before you get left behind If you're a decision maker or budget holder within the corporate context, this invaluable book helps you gain an advantage from the deployment of cognitive analytics tools.
This book brings together philosophical approaches to cooperation and collective agency with research into human-machine interaction and cooperation from engineering, robotics, computer science and AI. Bringing these so far largely unrelated fields of study together leads to a better understanding of collective agency in natural and artificial systems and will help to improve the design and performance of hybrid systems involving human and artificial agents. Modeling collective agency with the help of computer simulations promises also philosophical insights into the emergence of collective agency. The volume consists of four sections. The first section is dedicated to the concept of agency. The second section of the book turns to human-machine cooperation. The focus of the third section is the transition from cooperation to collective agency. The last section concerns the explanatory value of social simulations of collective agency in the broader framework of cultural evolution.
How robots will change our world Some fear that robots could do half our jobs and even wipe us out. But is that likely? Rather than hurt humans, robots could help us. Smart machines already make our cars and clean our homes. Soon they could drive us about, teach our children, and keep our parents company. While dealing with the ethical concerns about Artificial Intelligence, Bennie Mols and Nieske Vergunst present a brief guide to the history, present and future of robots. They show how moving AI could allow the lame to walk again, rescue survivors from collapsed buildings, and boost the global fight against hunger and pollution. Welcome to a realistic and vivid view of our robot future. With 60 colour photos. Topics covered: From dolls to industrial workers, a history of robots How robots respond to their surroundings What robots learn about human speech Why self-driving cars are safer and greener The possibilities of robots in education Meet the 'cyborgs' who learn to walk again Why evolution designs the best robots Will rogue robots take over the world? Using robots as weapons and drones What the future holds: 2100, a Robot Odyssey
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