Screen Recognition Makes Apps More Accessible
Apple's Screen Recognition algorithm identifies the metadata necessary to communicate the functions of any app or Web page to the visually impaired.
Computing Applications
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Joke-Cracking Chatbots Boost Learning Levels
The role of humor in training, and conversing with, chatbots.
Central bank digital currencies hold the promise—and peril—of changing money as we know it.
There is an emerging effort to tap artificial intelligence to write code based on short text descriptions of what the code should do.
Program Verification: Vision and Reality
In 1969, Tony Hoare wrote in "An Axiomatic Basis for Computer Programming" about mathematical certainty, great reliance, and confidence. In retrospect, the hope for "mathematical certainty" was idealized, and not fully realistic, I believe.
Obtain a Ph.D. and a Career in Data
Innovative new approaches to learning are enabling people to gain skills that are vital in today's workplace.
Securing Seabed Cybersecurity, Emphasizing Intelligence Augmentation
John Arquilla considers the outlook for undersea cyberwar, while Judi Fusco, Pati Ruiz, and Jeremy Roschelle discuss how building equitable applications in education requires an emphasis on augmenting intelligence.
Formal Software Verification Measures Up
Verified coding techniques use mathematical proofs to ensure code is error-free and hacker-resistant. Can the approach revolutionize software?
Charles M. Geschke (1939-2021)
Charles M. Geschke helped create the modern world of computing, where beautiful typography and expressive, artistic graphics are as integral to most users' experience as numbers and text.
Droids, drones, and driverless technologies are fueling a supply chain revolution.
Reimplementing Software Interfaces Is Fair Use
A multifactored rationale for denying Oracle's claim against Google.
Responsible Computing During COVID-19 and Beyond
Navigating the ethical and societal impacts of technologies.
The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
Differential privacy is not a silver bullet for all privacy problems.
Always-on Time-Series Database: Keeping Up Where There's No Way to Catch Up
A discussion with Theo Schlossnagle, Justin Sheehy, and Chris McCubbin.
How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?
The Harm in Conflating Aging With Accessibility
Including older adults as full stakeholders in digital society.
Flexible Work and Personal Digital Infrastructures
PDIs are emerging as alternative sociotechnical infrastructures to enhance flexible work arrangments.
Spatial Concepts in the Conversation With a Computer
Conversing about places with a computer poses a range of challenges to current AI.
Technical Perspective: An Elegant Model for Deriving Equations
"Deriving Equations from Sensor Data Using Dimensional Function Synthesis," by Vasileios Tsoutsouras, et al., addresses the key problem of discovering relationships that hold between physical quantities from data using dimensional analysis to drastically narrow down the space of hypotheses.
Deriving Equations from Sensor Data Using Dimensional Function Synthesis
We present a new method, which we call dimensional function synthesis, for deriving functions that model the relationship between multiple signals in a physical system.
Understanding NoSQL Database Types: Key Value
Of all non-relationals, the key-value store is by far the most popular due to its extreme simplicity.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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