101 books match the query 'Data processing' and 9 start with a

cover of A Grammar Writer's Cookbook

A Grammar Writer's Cookbook

Edited by Miriam Butt, Tracy Holloway King, María-Eugenia Niño, and Frédérique S

CSLI, 1999

A Grammar Writer's Cookbook is an introduction to the issues involved in the writing and design of computational grammars, reporting on experiences and analyses within the ParGram parallel grammar development project. Using the Lexical Functional Grammar (LFG) framework, this project implemented grammars for German, French, and English to cover parallel corpora.
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cover of A Guide to MATLAB® Object-Oriented Programming

A Guide to MATLAB® Object-Oriented Programming

Andy H. Register

The Institution of Engineering and Technology, 2007

A Guide to MATLAB® Object-Oriented Programming is the first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB®. Unlike the typical approach of other resources, this guide explains why each feature is important, demonstrates how each feature is used, and promotes an understanding of the interactions between features.
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cover of A World of Fiction: Digital Collections and the Future of Literary History

A World of Fiction

Digital Collections and the Future of Literary History

Katherine Bode

University of Michigan Press, 2018

Proposes a new basis for data-rich literary history
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cover of Algorithmic and Knowledge-based CAD for VLSI

Algorithmic and Knowledge-based CAD for VLSI

Gaynor Taylor

The Institution of Engineering and Technology, 1992

The continuing growth in the size and complexity of VLSI devices requires a parallel development of well-designed, efficient CAD tools. The majority of commercially available tools are based on an algorithmic approach to the problem and there is a continuing research effort aimed at improving these. The sheer complexity of the problem has, however, led to an interest in examining the applicability of expert systems and other knowledge based techniques to certain problems in the area and a number of results are becoming available. The aim of this book is to sample the present state-of-the-art in CAD for VLSI and it covers both newly developed algorithms and applications of techniques from the artificial intelligence community. The editors believe it will prove of interest to all engineers concerned with the design and testing of integrated circuits and systems.
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cover of Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy

Algorithms of Education

How Datafication and Artificial Intelligence Shape Policy

Kalervo N. Gulson

University of Minnesota Press, 2022

A critique of what lies behind the use of data in contemporary education policy 
 

While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.

Algorithms of Education explores how, for policy makers, today’s ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to “synthetic governance”—a governance where what is human and machine becomes less clear—as a strategy for optimizing education.

Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields—from critical theory and media studies to science and technology studies and education policy studies—mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.

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cover of Arabic Computational Linguistics

Arabic Computational Linguistics

Edited by Ali Farghaly

CSLI, 2010

Arabic is an exciting—yet challenging—language for scholars because many of its linguistic properties have not been fully described. Arabic Computational Linguistics documents the recent work of researchers in both academia and industry who have taken up the challenge of solving the real-life problems posed by an understudied language.

This comprehensive volume explores new Arabic machine translation systems, innovations in speech recognition and mention detection, tree banks, and linguistic corpora. Arabic Computational Linguistics will be an indispensable reference for language researchers and practitioners alike.
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cover of Artificial Intelligence Techniques in Power Systems

Artificial Intelligence Techniques in Power Systems

Kevin Warwick

The Institution of Engineering and Technology, 1997

Research in artificial intelligence has developed many techniques and methodologies that can be either adapted or used directly to solve complex power system problems. A variety of such problems are covered in this book including reactive power control, alarm analysis, fault diagnosis, protection systems and load forecasting. Methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms are all first introduced and then investigated in terms of their applicability in the power systems field. The book, therefore, serves as both an introduction to the use of artificial intelligence techniques for those from a power systems background and as an overview of the power systems implementation area for those from an artificial intelligence computing or control background. It is structured so that it is suitable for various levels of reader, covering basic principles as well as applications and case studies. The most popular methods and the most fruitful application fields are considered in more detail. The book contains contributions from top international authors and will be an extremely useful text for all those with an interest in the field.
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cover of Augmented Exploitation: Artificial Intelligence, Automation and Work

Augmented Exploitation

Artificial Intelligence, Automation and Work

Phoebe Moore

Pluto Press, 2021

Artificial Intelligence is a seemingly neutral technology, but it is increasingly used to manage workforces and make decisions to hire and fire employees. Its proliferation in the workplace gives the impression of a fairer, more efficient system of management. A machine can't discriminate, after all. Augmented Exploitation explores the reality of the impact of AI on workers' lives. While the consensus is that AI is a completely new way of managing a workplace, the authors show that, on the contrary, AI is used as most technologies are used under capitalism: as a smokescreen that hides the deep exploitation of workers. Going beyond platform work and the gig economy, the authors explore emerging forms of algorithmic governance and AI-augmented apps that have been developed to utilise innovative ways to collect data about workers and consumers, as well as to keep wages and worker representation under control. They also show that workers are not taking this lying down, providing case studies of new and exciting form of resistance that are springing up across the globe.
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cover of Automaton Theories of Human Sentence Comprehension

Automaton Theories of Human Sentence Comprehension

John T. Hale

CSLI, 2014

By relating grammar to cognitive architecture, John T. Hale shows step-by-step how incremental parsing works in models of perceptual processing and how specific learning rules might lead to frequency-sensitive preferences. Along the way, Hale reconsiders garden-pathing, the parallel/serial distinction, and information-theoretical complexity metrics, such as surprisal. This book is a must for cognitive scientists of language.
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