A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.

This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Leon Tsarev is a high school student set on getting into a great college program, until his uncle, a member of the Russian mob, coerces him into developing a new computer virus for the mob’s botnet - the slave army of computers they used to commit digital crimes. The evolutionary virus Leon creates, based on biological principles, is successful -- too successful. All the world’s computers are infected. Everything from cars to payment systems and, of course, computers and smart phones stop functioning, and with them go essential functions including emergency services, transportation, and the food supply. Billions may die. But evolution never stops. The virus continues to evolve, developing intelligence, communication, and finally an entire civilization. Some may be friendly to humans, but others are not. Leon and his companions must race against time and the military to find a way to either befriend or eliminate the virus race and restore the world’s computer infrastructure. Praise for the Singularity Series: “Highly entertaining, gripping, thought inspiring. Don’t start without the time to finish — it won’t let you go.” —Gifford Pinchot III, founder Bainbridge Graduate Institute, author THE INTELLIGENT ORGANIZATION “A tremendous book that every single person needs to read. In the vein of Daniel Suarez's Daemon and Freedom(TM), William shows that science fiction is becoming science fact.” —Brad Feld, managing director Foundry Group, cofounder TechStars “A fascinating look at how simple and benign advancements in technology could lead to the surprise arrival of the first AI. And like all good techno-thrillers, the reality of AI is less than ideal.” —Jason Glaspey, SILICON FLORIST “An alarming and jaw-dropping tale about how something as innocuous as email can subvert an entire organization. I found myself reading with a sense of awe, and read it way too late into the night.” —Gene Kim, author of VISIBLE OPS

Through desperate tactics and by deliberately keeping a low profile, we survived the machine assaults longer than any human or cybership thought possible. But now our luck has deserted us. The main A.I. brain-core has just given human extinction top priority. The robots are massing an armada to exterminate us.We've done what we could in expectation of this grim day, grabbing enemy factory planets to mass produce warships. And we found an ally, the Star Lords of Roke. But it's just not enough, damn it.We need more...like the alien void ship Hawkins once saw. Or maybe we can make a deal with the treacherous Cog Primus. One thing's sure. We'd better do it soon or we'll join thousands of other extinct species obliterated by the hateful death machines.A.I. VOID SHIP is the sixth book in the series chronicling humanity's war for survival against the galactic machine juggernaut.The series starts with book 1, A.I. DESTROYER.

We don't know when it happened. But somewhere an alien species built a strong artificial intelligence. The AI became independent, powerful, and it started killing biological infestations-Life-any life, all life. It has been killing life forms ever since as it grew into a vast armada of Death. Jon Hawkins and his team captured the AI Destroyer invading the Solar System. The genocidal assault should have been over, but it's not. An alien AI strand from the cybership survived in the distant Kuiper Belt. The strand has been multiplying and taking over by turning people into robots in order to build another super-ship. The human race is in a grim war for survival against the most relentless, most ruthless enemy in the galaxy.

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant. Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology; problems in extracting meaning from utterances in order to execute a request; language and speech generation; the dialog manager module; and interactions with social assistants and robots. Finally, he considers the next big challenge in the development of virtual assistants: building in more intelligence--enabling them to do more than communicate in natural language and endowing them with the capacity to know us better, predict our needs more accurately, and perform complex tasks with ease.

This book explains how a computer, by replicating the processes of Darwinian evolution, taught itself to play checkers far better than its creators could have programmed it to play. Fogel (editor, IEEE Transactions on Evolutionary Computation) considers the implications for evolutionary computations and artificial intelligence. Diagrams illustrate the evolutionary and computational processes at work, and the course of various games of checkers. Annotation copyrighted by Book News, Inc., Portland, OR.