The Genie in the Machine examines how computers are being used to automate the process of inventing, and explains the steps that high-tech companies, patent lawyers, inventors, and consumers should take to thrive in the upcoming Artificial Invention Age.

Taking seriously Guillaume Apollinaire's wager that twentieth-century poets would one day "mechanize" poetry as modern industry has mechanized the world, Carrie Noland explores poetic attempts to redefine the relationship between subjective expression and mechanical reproduction, high art and the world of things. Noland builds upon close readings to construct a tradition of diverse lyricists--from Arthur Rimbaud, Blaise Cendrars, and René Char to contemporary performance artists Laurie Anderson and Patti Smith--allied in their concern with the nature of subjectivity in an age of mechanical reproduction.

In Baghdad, the Caliph’s Grand Vizier Iznogoud has one aim in life: to become Caliph instead of the Caliph. The benign ruler, Haroun al Plassid is blind to his vizier’s scheming to get rid of him and generally had rather take a nap. Iznogoud is faithfully seconded by Wa’at Alahf in trying to put his fiendish designs into action.

From the New York Times bestselling author of A Cuban Girl's Guide to Tea and Tomorrow, this deeply heartfelt love story explores hiding the worst parts of ourselves, and finding the people who love us anyway. “How could I open that door and let him see the messiest part of me?” From the moment she first learned to read, literary genius Darcy Wells has spent most of her time living in the worlds of her books. There, she can avoid the crushing reality of her mother’s hoarding and pretend her life is simply ordinary. But then Asher Fleet, a former teen pilot with an unexpectedly shattered future, walks into the bookstore where she works…and straight into her heart. For the first time in her life, Darcy can’t seem to find the right words. Fairy tales are one thing, but real love makes her want to hide behind her carefully constructed ink-and-paper wall. Still, after spending her whole life keeping people out, something about Asher makes Darcy want to open up. But securing her own happily-ever-after will mean she’ll need to stop hiding and start living her own truth—even if it’s messy. “A lovely tale for bookish readers that will give them all the feels.” —Kirkus

It appers impossible for anyone seriously interested in our civilization to ignore this book. It is a 'must' book for those in every branch of science . . . in addition, economists, politicians, statesmen, and businessmen cannot afford to overlook cybernetics and its tremendous, even terrifying implications.

A classic and influential work that laid the theoretical foundations for information theory and a timely text for contemporary informations theorists and practitioners. With the influential book Cybernetics, first published in 1948, Norbert Wiener laid the theoretical foundations for the multidisciplinary field of cybernetics, the study of controlling the flow of information in systems with feedback loops, be they biological, mechanical, cognitive, or social. At the core of Wiener's theory is the message (information), sent and responded to (feedback); the functionality of a machine, organism, or society depends on the quality of messages. Information corrupted by noise prevents homeostasis, or equilibrium. And yet Cybernetics is as philosophical as it is technical, with the first chapter devoted to Newtonian and Bergsonian time and the philosophical mixed with the technical throughout. This book brings the 1961 second edition back into print, with new forewords by Doug Hill and Sanjoy Mitter. Contemporary readers of Cybernetics will marvel at Wiener's prescience—his warnings against “noise,” his disdain for “hucksters” and “gadget worshipers,” and his view of the mass media as the single greatest anti-homeostatic force in society. This edition of Cybernetics gives a new generation access to a classic text.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Annual Review in Automatic Programming, Volume 2 is a collection of papers that discusses the controversy about the suitability of COBOL as a common business oriented language, and the development of different common languages for scientific computation. A couple of papers describes the use of the Genie system in numerical calculation and analyzes Mercury autocode in terms of a phrase structure language, such as in the source language, target language, the order structure of ATLAS, and the meta-syntactical language of the assembly program. Other papers explain interference or an "intermediate return" using ALGOL, the National-Elliot 803 Computer, and the MADCAP II. MADCAP II is A version of the automatic programming compiler for MANIAC II. One paper discusses the APT which serves as a common computer language for computational problems. Another paper explains SAKO which can bypass machine language almost entirely in the field of numerical and logical problems, particularly in programs using XYZ and ZAM II. A report of the Working Committee of the British Computer Society Discussion Group No. 5 concludes that COBOL is unnecessarily complex due to its close machine orientation. Computer engineers, computer instructors, programmers, and students of computer science will find the collection highly valuable.

Singularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses on conjectures about the intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas. Many commentators however doubt the scientific rigor of these forecasts, rejecting them as speculative and unfounded. We therefore invited prominent computer scientists, physicists, philosophers, biologists, economists and other thinkers to assess the singularity hypotheses. Their contributions go beyond speculation, providing deep insights into the main issues and a balanced picture of the debate.