The Art of Interpretation in the Age of Computation PDF Download
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Author: Paul Kockelman
Publisher: Oxford University Press
ISBN: 019063653X
Category : Computers
Languages : en
Pages : 249
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Book Description
The Art of Interpretation is about media, mediation, and meaning. It focuses on a set of interrelated transformations whereby seemingly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. It analyzes the conditions and consequences of such transformations for selfhood, social relations, and semiosis.
Author: Paul Kockelman
Publisher: Oxford University Press
ISBN: 019063653X
Category : Computers
Languages : en
Pages : 249
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Book Description
The Art of Interpretation is about media, mediation, and meaning. It focuses on a set of interrelated transformations whereby seemingly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. It analyzes the conditions and consequences of such transformations for selfhood, social relations, and semiosis.
Author: Paul Kockelman
Publisher: Oxford University Press
ISBN: 0190636548
Category : Language Arts & Disciplines
Languages : en
Pages : 231
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Book Description
This book is about media, mediation, and meaning. The Art of Interpretation focuses on a set of interrelated processes whereby ostensibly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures. That is, as computation replaces interpretation, information effaces meaning, and infrastructure displaces interaction. Or so it seems. Paul Kockelman asks: What does it take to automate, format, and network meaningful practices? What difference does this make for those who engage in such practices? And what is at stake? Reciprocally: How can we better understand computational processes from the standpoint of meaningful practices? How can we leverage such processes to better understand such practices? And what lies in wait? In answering these questions, Kockelman stays very close to fundamental concerns of computer science that emerged in the first half of the twentieth-century. Rather than foreground the latest application, technology or interface, he accounts for processes that underlie each and every digital technology deployed today. In a novel method, The Art of Interpretation leverages key ideas of American pragmatism-a philosophical stance that understands the world, and our relation to it, in a way that avoids many of the conundrums and criticisms of conventional twentieth-century social theory. It puts this stance in dialogue with certain currents, and key texts, in anthropology and linguistics, science and technology studies, critical theory, computer science, and media studies.
Author: Eitan Y. Wilf
Publisher: University of Chicago Press
ISBN: 0226828336
Category : Computer composition (Music)
Languages : en
Pages : 272
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Book Description
Explores how creative digital technologies and artificial intelligence are embedded in culture and society. In The Inspiration Machine, Eitan Y. Wilf explores the transformative potentials that digital technology opens up for creative practice through three ethnographic cases, two with jazz musicians and one with a group of poets. At times dissatisfied with the limitations of human creativity, these artists do not turn to computerized algorithms merely to execute their preconceived ideas. Rather, they approach them as creative partners, delegating to them different degrees of agentive control and artistic decision-making in the hopes of finding inspiration in their output and thereby expanding their own creative horizons. The algorithms these artists develop and use, however, remain rooted in and haunted by the specific social predicaments and human shortfalls that they were intended to overcome. Experiments in the digital thus hold an important lesson: although Wilf's interlocutors returned from their adventures with computational creativity with modified, novel, and enriched capacities and predilections, they also gained a renewed appreciation for, and at times a desire to re-inhabit, non-digital creativity. In examining the potentials and pitfalls of seemingly autonomous digital technologies in the realm of art, Wilf shows that computational solutions to the real or imagined insufficiencies of human practice are best developed in relation to, rather than away from, the social and cultural contexts that gave rise to those insufficiencies, in the first place.
Author: Warren Sack
Publisher: MIT Press
ISBN: 0262039702
Category : Computers
Languages : en
Pages : 401
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Book Description
An alternative history of software that places the liberal arts at the very center of software's evolution. In The Software Arts, Warren Sack offers an alternative history of computing that places the arts at the very center of software's evolution. Tracing the origins of software to eighteenth-century French encyclopedists' step-by-step descriptions of how things were made in the workshops of artists and artisans, Sack shows that programming languages are the offspring of an effort to describe the mechanical arts in the language of the liberal arts. Sack offers a reading of the texts of computing—code, algorithms, and technical papers—that emphasizes continuity between prose and programs. He translates concepts and categories from the liberal and mechanical arts—including logic, rhetoric, grammar, learning, algorithm, language, and simulation—into terms of computer science and then considers their further translation into popular culture, where they circulate as forms of digital life. He considers, among other topics, the “arithmetization” of knowledge that presaged digitization; today's multitude of logics; the history of demonstration, from deduction to newer forms of persuasion; and the post-Chomsky absence of meaning in grammar. With The Software Arts, Sack invites artists and humanists to see how their ideas are at the root of software and invites computer scientists to envision themselves as artists and humanists.
Author: Ray Kurzweil
Publisher: Penguin
ISBN: 1101077883
Category : Computers
Languages : en
Pages : 400
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Book Description
Ray Kurzweil is the inventor of the most innovative and compelling technology of our era, an international authority on artificial intelligence, and one of our greatest living visionaries. Now he offers a framework for envisioning the twenty-first century--an age in which the marriage of human sensitivity and artificial intelligence fundamentally alters and improves the way we live. Kurzweil's prophetic blueprint for the future takes us through the advances that inexorably result in computers exceeding the memory capacity and computational ability of the human brain by the year 2020 (with human-level capabilities not far behind); in relationships with automated personalities who will be our teachers, companions, and lovers; and in information fed straight into our brains along direct neural pathways. Optimistic and challenging, thought-provoking and engaging, The Age of Spiritual Machines is the ultimate guide on our road into the next century.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
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.
Author: Seong-in Kim
Publisher: Charles C Thomas Publisher
ISBN: 0398091773
Category : Art
Languages : en
Pages : 318
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Book Description
This book is concerned with the interdisciplinary studies applying computer technologies to the theory and practice of art therapy. The contents consist of the author's sixteen papers published, twelve patents in Korea, Japan, and the U.S.A., and other relevant materials, all organized in a logical sequence. This book is intended for art therapy courses at upper undergraduate and graduate levels. No prior computer knowledge is assumed. Interpretation of drawings no longer needs to be done manually by the therapists themselves because, as this book argues, computerized systems can perform the steps of evaluation and interpretation. The difficult concept of computer science is explained in a simple and concrete way with illustrations, sample drawings, and case studies. This book explains statistical methods, various functions of a computer, technologies in digital image processing, computer algorithms, methodologies in expert systems, and the Bayesian network. All these elements can be used to improve the practice and theory in the evaluation of art and the interpretation of art. Readers do not need to worry about unfamiliar terms such as digital image, algorithm, expert system, and Bayesian network which appear here. Neither should they be concerned about pixel, cluster, edge, blurring, convex hull, regression, etc., the terms which appear later in the book. These terms will be explained with illustrations and drawings for easy understanding. Computational Art Therapy will not only promote the use of various art therapy tools but also provide a foundation for new methodologies through which art therapy researchers can develop their own methodologies to improve the practice and theory of art therapy. It will be of special interest to those studying art therapy, psychology, psychiatry, art, computer science and applied statistics.
Author: Richard W. Hamming
Publisher: Stripe Press
ISBN: 195395331X
Category : Computers
Languages : en
Pages : 327
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Book Description
A groundbreaking treatise by one of the great mathematicians of our time, who argues that highly effective thinking can be learned. What spurs on and inspires a great idea? Can we train ourselves to think in a way that will enable world-changing understandings and insights to emerge? Richard Hamming said we can, and first inspired a generation of engineers, scientists, and researchers in 1986 with "You and Your Research," an electrifying sermon on why some scientists do great work, why most don't, why he did, and why you should, too. The Art of Doing Science and Engineering is the full expression of what "You and Your Research" outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of great people performing mighty deeds––but they are not meant to simply be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital fillers, and his own error-correcting codes. He also recounts a number of his spectacular failures as clear examples of what to avoid. Originally published in 1996 and adapted from a course that Hamming taught at the U.S. Naval Postgraduate School, this edition includes an all-new foreword by designer, engineer, and founder of Dynamicland Bret Victor, and more than 70 redrawn graphs and charts. The Art of Doing Science and Engineering is a reminder that a childlike capacity for learning and creativity are accessible to everyone. Hamming was as much a teacher as a scientist, and having spent a lifetime forming and confirming a theory of great people, he prepares the next generation for even greater greatness.
Author: Avi Wigderson
Publisher: Princeton University Press
ISBN: 0691189137
Category : Computers
Languages : en
Pages : 434
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Book Description
An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
Author: John V. Guttag
Publisher: MIT Press
ISBN: 0262529629
Category : Computers
Languages : en
Pages : 466
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Book Description
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
