BiblioVault - Books about Data processing -

Across Space and Time

Papers from the 41st Conference on Computer Applications and Quantitative Methods in Archaeology, Perth, 25-28 March 2013

Edited by Arianna Traviglia

Amsterdam University Press, 2015

This volume presents a selection of the best papers presented at the forty-first annual Conference on Computer Applications and Quantitative Methods in Archaeology. The theme for the conference was “Across Space and Time” and the papers explore a multitude of topics related to that concept, including databases, the semantic Web, geographical information systems, data collection and management, and more.

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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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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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The Analysis of Animal Bones from Archeological Sites

Richard G. Klein and Kathryn Cruz-Uribe

University of Chicago Press, 1984

In growing numbers, archeologists are specializing in the analysis of excavated animal bones as clues to the environment and behavior of ancient peoples. This pathbreaking work provides a detailed discussion of the outstanding issues and methods of bone studies that will interest zooarcheologists as well as paleontologists who focus on reconstructing ecologies from bones. Because large samples of bones from archeological sites require tedious and time-consuming analysis, the authors also offer a set of computer programs that will greatly simplify the bone specialist's job.

After setting forth the interpretive framework that governs their use of numbers in faunal analysis, Richard G. Klein and Kathryn Cruz-Uribe survey various measures of taxonomic abundance, review methods for estimating the sex and age composition of a fossil species sample, and then give examples to show how these measures and sex/age profiles can provide useful information about the past. In the second part of their book, the authors present the computer programs used to calculate and analyze each numerical measure or count discussed in the earlier chapters. These elegant and original programs, written in BASIC, can easily be used by anyone with a microcomputer or with access to large mainframe computers.

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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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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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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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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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