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48746 results in Computer Science

Page 2 of 2438

Move Slow and Upgrade
  • The Power of Incremental Innovation
  • Evan Selinger, Albert Fox Cahn
  • Coming soon
  • Expected online publication date:
    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.

Quantum Computing Unveiled
  • A Concise Course with Topological Extensions
  • Yidun Wan
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

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
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

Governing AI
  • A Primer
  • Onur Bakiner
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

Introduction to Online Control
  • Elad Hazan, Karan Singh
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

A Hands-On Introduction to Data Science with Python
  • 2nd edition
  • Chirag Shah
  • Coming soon
  • Expected online publication date:
    January 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.

A Hands-On Introduction to Data Science with R
  • 2nd edition
  • Chirag Shah
  • Coming soon
  • Expected online publication date:
    January 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.

Computable Structure Theory
  • Beyond the Arithmetic
  • Antonio Montalbán
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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
  • Coming soon
  • Expected online publication date:
    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.

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
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

Classical and Quantum Information Theory
  • Uncertainty, Information, and Correlation
  • Osvaldo Simeone
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 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.

Introduction to Machine Learning
  • From Math to Code
  • Ruye Wang
  • Coming soon
  • Expected online publication date:
    January 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.

  • 4 - Privacy

  • Jonathan Lazar, University of Maryland, College Park, Casey Fiesler, University of Colorado Boulder, Brian Wentz, Shippensburg University of Pennsylvania, Raja Kushalnagar, Gallaudet University, Washington DC
  • Foreword by Lorrie Cranor, Carnegie Mellon University, Pennsylvania
  • Book:
    Human–Computer Interaction and U.S. Law
    Published online:
    12 December 2025
    Print publication:
    08 January 2026, pp 71-110

  • Summary

    This chapter provides an introduction to the concepts of privacy, such as privacy-by-design and provides specific challenges related to privacy in HCI such as personally identifiable information, personal health data, personal genetic data, and location data. The chapter discusses Federal and state laws, as well as case law related to privacy of information, and how interfaces may enhance privacy or confuse users.

  • 1 - Introduction

  • Tomas Petricek, Charles University, Prague
  • Book:
    Cultures of Programming
    Published online:
    19 December 2025
    Print publication:
    08 January 2026, pp 1-32
    • Chapter
      • You have access
      • Open access
    • PDF
    • Export citation

  • 2 - Mathematisation of Programming

  • Tomas Petricek, Charles University, Prague
  • Book:
    Cultures of Programming
    Published online:
    19 December 2025
    Print publication:
    08 January 2026, pp 33-76
    • Chapter
      • You have access
      • Open access
    • PDF
    • Export citation

  • 10 - Voting Interfaces and U.S. Law

  • Jonathan Lazar, University of Maryland, College Park, Casey Fiesler, University of Colorado Boulder, Brian Wentz, Shippensburg University of Pennsylvania, Raja Kushalnagar, Gallaudet University, Washington DC
  • Foreword by Lorrie Cranor, Carnegie Mellon University, Pennsylvania
  • Book:
    Human–Computer Interaction and U.S. Law
    Published online:
    12 December 2025
    Print publication:
    08 January 2026, pp 230-248

  • Summary

    This chapter focuses on the technology-based interfaces/mechanisms used for voting, and the legal rules specifying the user experience of those electronic technologies used for voting. A legal history of electronic mechanisms for voting is presented, with a focus on the most influentual current Federal statutes--the Help America Vote Act (HAVA) and The Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA).

  • 3 - Interactive Programming

  • Tomas Petricek, Charles University, Prague
  • Book:
    Cultures of Programming
    Published online:
    19 December 2025
    Print publication:
    08 January 2026, pp 77-131
    • Chapter
      • You have access
      • Open access
    • PDF
    • Export citation

  • 5 - Human Subjects Research Regulation

  • Jonathan Lazar, University of Maryland, College Park, Casey Fiesler, University of Colorado Boulder, Brian Wentz, Shippensburg University of Pennsylvania, Raja Kushalnagar, Gallaudet University, Washington DC
  • Foreword by Lorrie Cranor, Carnegie Mellon University, Pennsylvania
  • Book:
    Human–Computer Interaction and U.S. Law
    Published online:
    12 December 2025
    Print publication:
    08 January 2026, pp 111-135

  • Summary

    This chapter provides (1) an overview of human subjects research in HCI; (2) a brief history of legal regulation for human subjects research in the United States; (3) an overview of applicable laws and how these are operationalized for academic research via university Institutional Review Boards (IRBs); (4) challenges for HCI research specifically under this regulatory regime; and (5) regulatory mechanisms for research beyond formal law, including professional responsibility and social norms.

Page 2 of 2438