Skip to main content Accessibility help
×
  1. Home
  2. Browse subjects
  3. Computer Science
  4. Content listing

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

81 results in Computer Science

Page 1 of 5

A Science of Concurrent Programs
  • Leslie Lamport
  • Published online:
    25 March 2026
    Print publication:
    02 April 2026
  • Turing Award-winner Leslie Lamport shares the key lessons he has learned about concurrent and distributed computing over decades of writing and reasoning about their algorithms. Algorithms are not programs, and they shouldn't be written in a programming language. Instead, this book explores how to write them and reason about them by using mathematics. It explains the principles underlying abstract programs and understanding those principles helps to avoid concurrency errors. Designing an abstract program before writing any code can lead to better, more reliable programs. The book has very few mathematical prerequisites, with an appendix summarizing the necessary knowledge. Many of the examples are available online, written in the formal language TLA+, and can be checked with the TLA+ tools. This is a fascinating read for any graduate students and researchers in theoretical computer science, concurrency, and distributed systems.

Cinema and Machine Vision
  • Artificial Intelligence, Aesthetics and Spectatorship
  • Daniel Chávez Heras
  • Published by:
    Edinburgh University Press
    Published online:
    18 March 2026
    Print publication:
    31 May 2024
  • Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. It theorises machine vision through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf.

    At its heart, Cinema and Machine Vision is an invitation for film and media scholars to critically engage with AI at a technical level, a prompt for scientists and engineers working with images and cultural data to critically reflect on where their assumptions about vision come from, and a joint recognition of the fruitful problems of working together to understand the algorithmic governance of the visual.

Basic Graph Theory
  • Béla Bollobás, Robert Morris
  • Published online:
    15 March 2026
    Print publication:
    26 March 2026
  • Over the past few decades, graph theory has developed into one of the central areas of modern mathematics, with close (and growing) connections to areas of pure mathematics such as number theory, probability theory, algebra and geometry, as well as to applied areas such as the theory of networks, machine learning, statistical physics, and biology. It is a young and vibrant area, with several major breakthroughs having occurred in just the past few years. This book offers the reader a gentle introduction to the fundamental concepts and techniques of graph theory, covering classical topics such as matchings, colourings and connectivity, alongside the modern and vibrant areas of extremal graph theory, Ramsey theory, and random graphs. The focus throughout is on beautiful questions, ideas and proofs, and on illustrating simple but powerful techniques, such as the probabilistic method, that should be part of every young mathematician's toolkit.

Bandit Convex Optimisation
  • Tor Lattimore
  • Published online:
    07 March 2026
    Print publication:
    19 March 2026
  • This comprehensive reference brings readers to the frontier of research on bandit convex optimization or zeroth-order convex optimization. The focus is on theoretical aspects, with short, self-contained chapters covering all the necessary tools from convex optimization and online learning, including gradient-based algorithms, interior point methods, cutting plane methods and information-theoretic machinery. The book features a large number of exercises, open problems and pointers to future research directions, making it ideal for students as well as researchers.

One Hundred Years of Game Theory
  • A Nobel Symposium
  • Edited by Mark Voorneveld, Jörgen W. Weibull, Tommy Andersson, Roger Myerson, Jean-François Laslier, Rida Laraki, Yukio Koriyama
  • Published online:
    03 March 2026
    Print publication:
    19 February 2026
  • In the winter of 2021, the Swedish Nobel Foundation organized a Nobel symposium 'One Hundred Years of Game Theory' to commemorate the publication of famous mathematician Emile Borel's 'La théorie du jeu et les équations intégrales à noyau symétrique'. The symposium gathered roughly forty of the world's most prominent scholars ranging from mathematical foundations to applications in economics, political science, computer science, biology, sociology, and other fields. One Hundred Years of Game Theory brings together their writings to summarize and put in perspective the main achievements of game theory in the last one hundred years. They address past achievements, taking stock of what has been accomplished and contemplating potential future developments and challenges. Offering cross-disciplinary discussions between eminent researchers including five Nobel laureates, one Fields medalist and two Gödel prize winners, the contributors provide a fascinating landscape of game theory and its wide range of applications.

Doing digital history
  • A beginner’s guide to working with text as data
  • Jonathan Blaney, Sarah Milligan, Marty Steer, Jane Winters
  • Published by:
    Manchester University Press
    Published online:
    28 February 2026
  • This book offers a practical introduction to digital history with a focus on working with text. It will benefit anyone who is considering carrying out research in history that has a digital or data element and will also be of interest to researchers in related fields within digital humanities, such as literary or classical studies. It offers advice on the scoping of a project, evaluation of existing digital history resources, a detailed introduction on how to work with large text resources, how to manage digital data and how to approach data visualisation. After placing digital history in its historiographical context and discussing the importance of understanding the history of the subject, this guide covers the life-cycle of a digital project from conception to digital outputs. It assumes no prior knowledge of digital techniques and shows you how much you can do without writing any code. It will give you the skills to use common formats such as plain text and XML with confidence. A key message of the book is that data preparation is a central part of most digital history projects, but that work becomes much easier and faster with a few essential tools.

Quantum Computing Unveiled
  • A Concise Course with Topological Extensions
  • Yidun Wan
  • Published online:
    27 February 2026
    Print publication:
    19 March 2026
  • Aimed at advanced undergraduate and graduate-level students, this textbook covers the core topics of quantum computing in a format designed for a single-semester course. It will be accessible to learners from a range of disciplines, with an understanding of linear algebra being the primary prerequisite. The textbook introduces central concepts such as quantum mechanics, the quantum circuit model, and quantum algorithms, and covers advanced subjects such as the surface code and topological quantum computation. These topics are essential for understanding the role of symmetries in error correction and the stability of quantum architectures, which situate quantum computation within the wider realm of theoretical physics. Graphical representations and exercises are included throughout the book and optional expanded materials are summarized within boxed 'Remarks'. Lecture notes have been made freely available for download from the textbook's webpage, with instructors having additional online access to selected exercise solutions.

Introduction to Online Control
  • Elad Hazan, Karan Singh
  • Published online:
    20 February 2026
    Print publication:
    26 March 2026
  • This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optimization and convex relaxations to obtain new methods with provable guarantees for classical settings in optimal and robust control. In optimal control, robust control, and other control methodologies that assume stochastic noise, the goal is to perform comparably to an offline optimal strategy. In online control, both cost functions and perturbations from the assumed dynamical model are chosen by an adversary. Thus, the optimal policy is not defined a priori and the goal is to attain low regret against the best policy in hindsight from a benchmark class of policies. The resulting methods are based on iterative mathematical optimization algorithms and are accompanied by finite-time regret and computational complexity guarantees. This book is ideal for graduate students and researchers interested in bridging classical control theory and modern machine learning.

Governing AI
  • A Primer
  • Onur Bakiner
  • Published online:
    20 February 2026
    Print publication:
    19 February 2026
  • Governing AI is about getting AI right. Building upon AI scholarship in science and technology studies, technology law, business ethics, and computer science, it documents potential risks and actual harms associated with AI, lists proposed solutions to AI-related problems around the world, and assesses their impact. The book presents a vast range of theoretical debates and empirical evidence to document how and how well technical solutions, business self-regulation, and legal regulation work. It is a call to think inside and outside the box. Technical solutions, business self-regulation, and especially legal regulation can mitigate and even eliminate some of the potential risks and actual harms arising from the development and use of AI. However, the long-term health of the relationship between technology and society depends on whether ordinary people are empowered to participate in making informed decisions to govern the future of technology – AI included.

Digital contention in a divided society
  • Social media, parades and protests in Northern Ireland
  • Paul Reilly
  • Published by:
    Manchester University Press
    Published online:
    17 February 2026
  • This book explores how social media are used by citizens to frame contentious parades and protests in ‘post-conflict’ Northern Ireland. It provides the first in-depth analysis of how Facebook, Twitter and YouTube were used by citizens to contest the 2013 union flag protests and the Ardoyne parade dispute (2014 and 2015). An essential read for researchers interested in digital mis- and disinformation, it will examine how citizens engaged with false information circulating on these platforms that had the potential to inflame sectarian tensions during these contentious episodes. It also considers the implications of this online activity for efforts to build peace in deeply divided societies such as Northern Ireland.The book uses a qualitative thematic approach to analyse Facebook, Twitter and YouTube content generated during the flag protests and Ardoyne parade dispute between 2012 and 2016. It also draws on semi-structured interviews with key stakeholders including bloggers, political commentators and communication officers from the main political parties, as well as the results of a qualitative content analysis of newspaper coverage of these contentious public demonstrations.

Classical and Quantum Information Theory
  • Uncertainty, Information, and Correlation
  • Osvaldo Simeone
  • Published online:
    16 February 2026
    Print publication:
    19 February 2026
  • Discover the foundations of classical and quantum information theory in the digital age with this modern introductory textbook. Familiarise yourself with core topics such as uncertainty, correlation, and entanglement before exploring modern techniques and concepts including tensor networks, quantum circuits and quantum discord. Deepen your understanding and extend your skills with over 250 thought-provoking end-of-chapter problems, with solutions for instructors, and explore curated further reading. Understand how abstract concepts connect to real-world scenarios with over 400 examples, including numerical and conceptual illustrations, and emphasising practical applications. Build confidence as chapters progressively increase in complexity, alternating between classic and quantum systems. This is the ideal textbook for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics, looking to master the essentials of contemporary information theory.
Addressing Misinformation and Disinformation

Addressing Misinformation and Disinformation
  • James Meese, Corinne Tan
  • Published online:
    09 February 2026
    Print publication:
    05 March 2026
  • Concerns around misinformation and disinformation have intensified with the rise of AI tools, with many claiming this is a watershed moment for truth, accuracy and democracy. In response, numerous laws have been enacted in different jurisdictions. Addressing Misinformation and Disinformation introduces this new legal landscape and charts a path forward. The Element identifies avoidance or alleviation of harm as a central legal preoccupation, outlines technical developments associated with AI and other technologies, and highlights social approaches that can support long-term civic resilience. Offering an expansive interdisciplinary analysis that moves beyond narrow debates about definitions, Addressing Misinformation and Disinformation shows how law can work alongside other technical and social mechanisms, as part of a coherent policy response.

A Hands-On Introduction to Data Science with R
  • 2nd edition
  • Chirag Shah
  • Published online:
    07 February 2026
    Print publication:
    22 January 2026
  • Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool R, a new chapter on using R for statistical analysis, and a new chapter that demonstrates how to use R within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.

A Hands-On Introduction to Data Science with Python
  • 2nd edition
  • Chirag Shah
  • Published online:
    07 February 2026
    Print publication:
    22 January 2026
  • Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool Python, a new chapter on using Python for statistical analysis, and a new chapter that demonstrates how to use Python within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.

Introduction to Machine Learning
  • From Math to Code
  • Ruye Wang
  • Published online:
    05 February 2026
    Print publication:
    18 December 2025
  • Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.

Onlife Criminology
  • Virtual Crimes and Real Harms
  • Janos Mark Szakolczai
  • Published by:
    Bristol University Press
    Published online:
    05 February 2026
    Print publication:
    31 July 2025
  • Onlife criminology is the study of crime and social harm produced by the blurring lines between digital engagement and our everyday lives. This thought-provoking book analyses the threats of surveillance, indoctrination and abuse of personal data that can potentially affect us all.

Move Slow and Upgrade
  • The Power of Incremental Innovation
  • Evan Selinger, Albert Fox Cahn
  • Published online:
    05 February 2026
    Print publication:
    05 February 2026
  • For far too long, tech titans peddled promises of disruptive innovation - fabricating benefits and minimizing harms. The promise of quick and easy fixes overpowered a growing chorus of critical voices, driving a sea of private and public investments into increasingly dangerous, misguided, and doomed forms of disruption, with the public paying the price. But what's the alternative? Upgrades - evidence-based, incremental change. Instead of continuing to invest in untested, high-risk innovations, constantly chasing outsized returns, upgraders seek a more proven path to proportional progress. This book dives deep into some of the most disastrous innovations of recent years - the metaverse, cryptocurrency, home surveillance, and AI, to name a few - while highlighting some of the unsung upgraders pushing real progress each day. Timely and corrective, Move Slow and Upgrade pushes us past the baseless promises of innovation, towards realistic hope.

Shipping Machine Learning Systems
  • A Practical Guide to Building, Deploying, and Scaling in Production
  • Mohamed El-Geish, Shabaz Patel, Anand Sampat
  • In collaboration with Hira Dangol
  • Published online:
    30 January 2026
    Print publication:
    19 February 2026
  • This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often overlooked in academic texts. Drawing on their experience at several major corporations and startups, the authors focus on real-world scenarios, guiding practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. They highlight common pitfalls and offer interview-based case studies from companies that illustrate diverse industrial applications and their unique challenges. Multiple pathways through the book allow readers to choose which stage of the ML development process to focus on, as well as the learning strategy ('crawl,' 'walk,' or 'run') that best suits the needs of their project or team.

Computable Structure Theory
  • Beyond the Arithmetic
  • Antonio Montalbán
  • Published online:
    30 January 2026
    Print publication:
    19 February 2026
  • Computable structure theory quantifies and studies the relative complexity of mathematical structures. This text, in conjunction with the author's previous volume, represents the first full monograph on computable structure theory in two decades. It brings new results of the author together with many older results that were previously scattered across the literature and presents them all in a coherent framework. Geared towards graduate students and researchers in mathematical logic, the book enables the reader to learn all the main results and techniques in the area for application in their own research. While the previous volume focused on countable structures whose complexity can be measured within arithmetic, this second volume delves into structures beyond arithmetic, moving into the realm of the hyperarithmetic and the infinitary languages.

Parallel Computer Organization and Design
  • 2nd edition
  • Michel Dubois, Murali Annavaram, Per Stenström
  • Published online:
    17 January 2026
    Print publication:
    09 October 2025
  • Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. Self-contained yet concise, the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. This edition has a more streamlined structure, with the reliability and other technology background sections now included in the appendix. New material includes a chapter on GPUs, providing a comprehensive overview of their microarchitectures; sections focusing on new memory technologies and memory interfaces, which are key to unlocking the potential of parallel computing systems; deeper coverage of memory hierarchies including DRAM architectures, compression in memory hierarchies and an up-to-date coverage of prefetching. Practical examples demonstrate concrete applications of definitions, while the simple models and codes used throughout ensure the material is accessible to a broad range of computer engineering/science students.

Page 1 of 5