"Algorithm Design takes a fresh approach to the algorithms course, introducing algorithmic ideas through the real-world problems that motivate them. In a clear, direct style, Jon Kleinberg and Eva Tardos teach students to analyze and define problems for themselves, and from this to recognize which design principles are appropriate for a given situation. The text encourages a greater understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science." --Book Jacket.

How Singular? How singular is the Singularity? Will it happen in an instant? Lets consider again the derivation of the word. In mathematics a singularity is a value that is beyond any limit - in essence, infinity. The Singularity as we have discussed it in this book, does not achieve infinite levels of computation, memory, as any other other measurable attribute. But it certainly achieves vast levels of all these qualities, including intelligence. With the reverse engineering of the human brain we will be able to apply the parallel, self-organizing, chaotic, algorithms of human intelligence to enormously powerful computational substrates. This intelligence will then be in a position to improve its own design, both hardware and software, in a rapidly accelerating iterative process.

"As it absorbs data, gains agency, and intermediates between humans and reality, AI (artificial intelligence) will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen--usurping our power of independent judgment and action, testing our relationship with the divine, and perhaps even spurring a new phase in human evolution. The last book of elder statesman Henry Kissinger, written with technologists Craig Mundie and Eric Schmidt, 'Genesis' charts a course between blind faith and unjustified fear as it outlines an effective strategy for navigating the age of AI."--

"A short, provocative guide to what's good, bad, and stupid about AI and the discourse around AI, by the author of Enshittification"--

For decades, proponents of artificial intelligence have argued that computers will soon be doing everything that a human mind can do. Admittedly, computers now play chess at the grandmaster level, but do they understand the game as we do? Can a computer eventually do everything a human mind can do? In this absorbing and frequently contentious book, Roger Penrose--eminent physicist and winner, with Stephen Hawking, of the prestigious Wolf prize--puts forward his view that there are some facets of human thinking that can never be emulated by a machine. Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness. He is among a growing number of physicists who think Einstein wasn't being stubborn when he said his "little finger" told him that quantum mechanics is incomplete, and he concludes that laws even deeper than quantum mechanics are essential for the operation of a mind. To support this contention, Penrose takes the reader on a dazzling tour that covers such topics as complex numbers, Turing machines, complexity theory, quantum mechanics, formal systems, Godel undecidability, phase spaces, Hilbert spaces, black holes, white holes, Hawking radiation, entropy, quasicrystals, the structure of the brain, and scores of other subjects. The Emperor's New Mind will appeal to anyone with a serious interest in modern physics and its relation to philosophical issues, as well as to physicists, mathematicians, philosophers and those on either side of the AI debate.

"Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy." -- Publisher's description.

This introductory text covers the key areas of computer science, including recursive function theory, formal languages, and automata. It assumes a minimal background in formal mathematics. The book is divided into five parts: Computability, Grammars and Automata, Logic, Complexity, and Unsolvability. * Computability theory is introduced in a manner that makes maximum use of previous programming experience, including a "universal" program that takes up less than a page. * The number of exercises included has more than tripled. * Automata theory, computational logic, and complexity theory are presented in a flexible manner, and can be covered in a variety of different arrangements.

"In 1950, mathematician-philosopher Norbert Wiener ended this classic book on the place of machines in society with a warning: "We shall never receive the right answers to our questions unless we ask the right questions.... The hour is very late, and the choice of good and evil knocks at our door." Wiener, the founder of the science of cybernetics--the study of the relationship between computers and the human nervous system--was widely mislabeled as an advocate for the automation of human life. As The Human Use for Human Beings reveals, his vision was much more complex and interesting, and is more relevant in today's world of AI than anyone could have anticipated. In his new introduction, Brian Christian aptly calls Wiener the "progenitor of contemporary AI-safety discourse." Wiener hoped that machines would release people from relentless and repetitive drudgery to achieve more creative pursuits, yet he anticipated the danger of dehumanizing and displacement. His pioneering views on the human-machine relationship as a "communicative process" are only more crucial now, as we carry in our pockets AI devices that we can literally speak to. His prescient warnings illuminate our contemporary relationships with language, art, and even social media. The Human Use of Human Beings examines the implications of cybernetics for education, law, language, science, technology, as Wiener anticipates the enormous impact--in effect, a third industrial revolution--that the computer has had on our lives."-- Provided by publisher

From the former news policy lead at Google, an urgent and groundbreaking account of the high-stakes global cyberwar brewing between Western democracies and the autocracies of China and Russia that could potentially crush democracy. From 2016 to 2020, Jacob Helberg led Google's global internal product policy efforts to combat disinformation and foreign interference. During this time, he found himself in the midst of what can only be described as a quickly escalating two-front technology cold war between democracy and autocracy. On the front-end, we're fighting to control the software--applications, news information, social media platforms, and more--of what we see on the screens of our computers, tablets, and phones, a clash which started out primarily with Russia but now increasingly includes China and Iran. Even more ominously, we're also engaged in a hidden back-end battle--largely with China--to control the Internet's hardware, which includes devices like cellular phones, satellites, fiber-optic cables, and 5G networks. This tech-fueled war will shape the world's balance of power for the coming century as autocracies exploit twenty-first-century methods to re-divide the world into twentieth century-style spheres of influence. Helberg cautions that the spoils of this fight are power over every meaningful aspect of our lives, including our economy, our infrastructure, our national security, and ultimately, our national sovereignty. Without a firm partnership with the government, Silicon Valley is unable to protect democracy from the autocrats looking to sabotage it from Beijing to Moscow and Tehran. The stakes of the ongoing cyberwar are no less than our nation's capacity to chart its own future, the freedom of our democratic allies, and even the ability of each of us to control our own fates, Helberg says. And time is quickly running out.

A revealing, forward-looking examination of the outsize influence Google has had on the changing media landscape, telling the story of how it formed and crashed into traditional media businesses--from newspapers to books, to television, to movies, to telephones, to advertising, to Microsoft.

"New technologies are offering companies, politicians, and others unprecedented opportunity to manipulate us. Sometimes we are given the illusion of power - of freedom - through choice, yet the game is rigged, pushing us in specific directions that lead to less wealth, worse health, and weaker democracy. In, Manipulation, nudge theory pioneer and New York Times bestselling author, Cass Sunstein, offers a new definition of manipulation for the digital age, explains why it is wrong; and shows what we can do about it. He reveals how manipulation compromises freedom and personal agency, while threatening to reduce our well-being; he explains the difference between manipulation and unobjectionable forms of influence, including 'nudges'; and he lifts the lid on online manipulation and manipulation by artificial intelligence, algorithms, and generative AI, as well as threats posed by deepfakes, social media, and 'dark patterns,' which can trick people into giving up time and money. Drawing on decades of groundbreaking research in behavioral science, this landmark book outlines steps we can take to counteract manipulation in our daily lives and offers guidance to protect consumers, investors, and workers." --

A "skillful and literate" ( New York Times Book Review ) biography of the persecuted genius who helped create the modern computer. To solve one of the great mathematical problems of his day, Alan Turing proposed an imaginary computer. Then, attempting to break a Nazi code during World War II, he successfully designed and built one, thus ensuring the Allied victory. Turing became a champion of artificial intelligence, but his work was cut short. As an openly gay man at a time when homosexuality was illegal in England, he was convicted and forced to undergo a humiliating "treatment" that may have led to his suicide. With a novelist's sensitivity, David Leavitt portrays Turing in all his humanity?his eccentricities, his brilliance, his fatal candor?and elegantly explains his work and its implications.

"As data harvesting continues its exponential growth and computing power increases beyond what we can even imagine, AI and Big Data will be able to predict what we want for breakfast, what shoes we will buy, which political party we will vote for, and who we will fancy in a bar. Indeed, these deep-learning machines will know us better than we know ourselves. The day awaits when academia and big business will be able to quantify just how predictable each of us are. If indeed we are predictable like machines, to what extent are we alive, and under what definition? In The Human Test, quantum physicist Ron Folman unites findings from cognitive science, quantum physics, philosophy, and technology to offer a prescient look into this startling new era of human existence. If we are indeed found to be predictable, it will change everything we thought we knew about human nature. The Human Test strives for a new paradigm, and this new paradigm is found in human predictability. Existing monitors of general brain activity measure only very rudimentary aspects of the human experience, or what may be called human life; could the advent of a disruptive new technology bring about a much more insightful measure of who we are? While The Human Test describes a new and profound near-future impact of AI, it is rooted in a topic of paramount importance to humans: the enigma of consciousness and how it defines human life-or, what differentiates humans from all other life forms. Ultimately, The Human Test addresses some of the most fundamental questions about our species, starting with the most crucial: do we have free will, or are we merely machines? Fortunately, there is an antidote to predictability: creativity, that wondrous state of being original and inherently not predictable. Ultimately, Folman argues that if we can understand predictability, we can learn how to distance ourselves from it, and transcend to a purer idea of what human life should look like"-- Provided by publisher.

*Are you a parent looking to make sense of a daunting digital world, with new technical challenges appearing daily? * Feel you're not keeping up with the demands of technology? * Feel you're not keeping up with your children's use of social media? * Worried it's getting harder to keep your children safe in the digital world? Tech-Savvy Parenting brings together the experience, research, observations and advice of respected parenting expert Nikki Bush, and leading technology commentator Arthur Goldstuck. This insightful duo will help you get a handle on what's happening in the digital space to ensure your children are safe and savvy in this fast-changing world. They'll guide you through the terminology, dangers and opportunities of technology, while placing children's use of all things digital firmly in the context of the relationship between parents and their children. For families to remain connected, both online and offline, and for young people to develop into responsible digital citizens, parents must bridge the digital divide to their children by understanding the attraction of social media and technology, how communication is changing, and how technology is changing the world. This book is filled with practical advice that will help you to navigate the digital space, together with your children, with greater confidence.

Methods in Neuronal Modeling is the first technical handbook on computational neuroscience. Written for researchers and theoreticians alike, it outlines methods and techniques used for simulating on digital computers the functional properties of single neurons from synapses, dendrites, single cells; and small invertebrate networks to large scale neural networks in the mammalian nervous system. The use of new experimental tools such as selective staining methods, membrane patch electrodes, voltage and calcium-dependent dyes, and multielectrode recordings, together with the, advent of universally available powerful computing, makes it possible to construct detailed and realistic models of neuronal systems. Methods in Neuronal Modeling addresses such questions as what can and should be simulated and what techniques should be used; what experimental parameters are crucial for such simulations, and whether these models may be verified experimentally. Chapters cover simulation of passive dendritic trees, compartmental models of single cells including neurons with a number of different ionic channels, calcium current dynamics, simulations of small invertebrate networks, simulations of the mammalian cortex, connectionists' models, and the use of parallel computers in modeling neural networks. Although the chapters were written by several authors, they are uniform in structure and notation. Detailed examples are given to clarify the different approaches. Each chapter concludes with a description of the model discussed and the details of its implementation on the computer. Christof Koch is an Assistant Professor of Computation and Neural Systems at the California Institute of Technology. Idan Segev is a Lecturer in Neurobiology at the Institute of Life Science, Hebrew University of Jerusalem. Methods in Neuronal Modeling inaugurates the new series in Computational Neuroscience, edited by Terrence J. Sejnowski and Tomaso Poggio. A Bradford Book.

Textbook designed for an introductory undergraduate course in programming using the language Scheme, a small language analogous to a Swiss army knife in its handiness and versatility for small tasks. Annotation copyright Book News, Inc. Portland, Or.

0. 0 Psychology versus Complex Systems Science Over the last century, psychology has become much less of an art and much more of a science. Philosophical speculation is out; data collection is in. In many ways this has been a very positive trend. Cognitive science (Mandler, 1985) has given us scientific analyses of a variety of intelligent behaviors: short-term memory, language processing, vision processing, etc. And thanks to molecular psychology (Franklin, 1985), we now have a rudimentary understanding of the chemical processes underlying personality and mental illness. However, there is a growing feeling-particularly among non-psychologists (see e. g. Sommerhoff, 1990) - that, with the new emphasis on data collection, something important has been lost. Very little attention is paid to the question of how it all fits together. The early psychologists, and the classical philosophers of mind, were concerned with the general nature of mentality as much as with the mechanisms underlying specific phenomena. But the new, scientific psychology has made disappointingly little progress toward the resolution of these more general questions. One way to deal with this complaint is to dismiss the questions themselves. After all, one might argue, a scientific psychology cannot be expected to deal with fuzzy philosophical questions that probably have little empirical signifi cance. It is interesting that behaviorists and cognitive scientists tend to be in agreement regarding the question of the overall structure of the mind."

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include: * Problems that apply theoretical material to real-world applications * In-depth coverage of the Interacting Multiple Model (IMM) estimator * Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators * Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.