Computing Reviews - New Reviews

Mapping the evolution of data governance scientific research from Data & Policy

Mon, 13 Apr 2026 12:00:00 PST

Simply put, data governance is the management of information within an organization to ensure it is accurate, secure, and available. Over the past few decades, organizations have begun to increasingly focus on the inherent value of the information stored

Shaping AI’s impact on billions of lives from Communications of the ACM

Fri, 10 Apr 2026 12:00:00 PST

As artificial intelligence (AI) systems continue to move into everyday decision-making, questions of governance, reliability, and real-world use become just as important as technical capability. This article takes a broad look at how AI might be shaped for the common good

Healthcare agent: eliciting the power of large language models for medical consultation from npj Artificial Intelligence

Fri, 03 Apr 2026 12:00:00 PST

The design of a reliable healthcare agent for solving diverse, intertwined healthcare issues is thought-provoking. How should an effective agent provide safe and quality responses to inquiries? Zhiyao et al. explore the potential of large language models (LLMs)

Shaping AI’s impact on billions of lives from Communications of the ACM

Thu, 26 Mar 2026 12:00:00 PST

Artificial intelligence (AI) discussion in the popular press is quite polarized--there are those that see only benefits, and those that see only doom. In this paper, Cu�llar et al. develop a nuanced take on AI?s impact, encouraging future AI research along lines that

Against imaginary friends: why digital companions are no solution to social isolation from Communications of the ACM

Fri, 20 Mar 2026 12:00:00 PST

This provocative article debates the technological progress toward ?digital humans” versus ?digital companions.” The argument: less is more, but not necessarily good enough. Sparrow and Brown ask three provocative questions: ?Should we reduce

Search as learning from Foundations and Trends in Information Retrieval

Mon, 23 Feb 2026 12:00:00 PST

The authors have compiled an extensive survey of prior work in the field of search as learning (SAL) and offer a prospective outline of future progress. Information retrieval (IR) has hosted learning as a subject for many years. The SAL research community sprang from three

?I felt listened to?: evaluating an AI-powered reflection tool for care partners from ACM Transactions on Accessible Computing

Mon, 16 Feb 2026 12:00:00 PST

This paper raises an important question: ?Why do you need a robot for that?” [1]. Harry is why: ?Harry’s health has been deteriorating over the last six months, and he is now unable to do the activities he enjoys. Previously, when Harry was well, he visited his

A future-oriented approach to the selection of artificial intelligence technologies for knowledge platforms from JASIST

Wed, 11 Feb 2026 12:00:00 PST

This paper addresses the problem of selecting artificial intelligence (AI) technologies for knowledge platforms using a forward-looking, structured decision framework. The focus on long-term relevance and sustainability is timely and appropriate. The authors employ a

Computational modelling of robot personhood and relationality

Mon, 06 Apr 2026 12:00:00 PST

If humans and robots were able to roam around the same spaces, mutually recognizing each other for what they are, how would those interactions go? How can we model such interactions in a way that we can reason about and understand the implications of a given behavior? This book aims to answer this

Digital theory

Mon, 30 Mar 2026 12:00:00 PST

Digital theory is a concise yet conceptually dense exploration of the philosophical foundations of digitality and the forms of thought, representation, and experience that emerge from computational systems. At 120 pages, the book opts for precision rather than breadth, presenting a tightly argued set of reflections on what it means to think in, through, and

Artificial intelligence for virtual reality

Mon, 23 Mar 2026 12:00:00 PST

This book delves into the intersection of virtual reality (VR) and artificial intelligence (AI), including their applications, particularly in healthcare. It offers a broad overview of these technologies, their current state, and future potential. The chapter titles suggest a focus on practical applications and emerging trends. The

Tiny machine learning quickstart: machine learning for Arduino microcontrollers

Mon, 16 Mar 2026 12:00:00 PST

Tiny machine learning quickstart by Salvatore Salerno is a practical and approachable introduction to deploying machine learning (ML) models on resource-constrained embedded devices. Published by Apress in 2025, the book aligns with the growing interest in TinyML--an emerging area that brings inference capabilities

In robots we trust

Wed, 11 Mar 2026 12:00:00 PST

Ann Lauterbach asks in her poem ?Logistics” [1]: ?What are we to know?” In robots we trust is about humans and robots, with a specific focus on human-robot interaction (HRI). It is divided into four parts--?Intelligent Machines,? ?Humans Trusting Robots,? ?Robots Trusting Humans,? and ?Trust in the

The ethics of artificial intelligence in defence

Mon, 09 Mar 2026 12:00:00 PST

This comprehensive and methodical volume, the groundwork for ?[an] ethics of artificial intelligence (AI) in defense,” presents a critically important and structured inquiry into one of the most pressing technological and ethical challenges of our time. The work systematically dissects the ethical

Quantum computing for the brain

Fri, 06 Mar 2026 12:00:00 PST

Have you ever wondered why the human brain correctly distinguishes between a flute and a piano yet our measures of timbre (quality of sound) are not foolproof, that is, they are more sensitive to pitch and less to timbre? It is because the brain already knows how a flute or a piano sounds, and it then performs a

Just enough data science and machine learning: essential tools and techniques

Wed, 04 Mar 2026 12:00:00 PST

As its title suggests, this book aims to provide readers with a concise yet foundational introduction to data science and machine learning. The authors successfully outline the essential concepts of both fields, highlighting data science as an interdisciplinary domain