More Than the Code: Learning Rules of Rejection in Writing Programs
A teacher and students coding together make explicit the unwritten rules of programming.
Research and Advances
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Internet Freedom in West Africa: Technical Support for Journalists and Democracy Advocates
The U.S. State Department's Internet Freedom agenda is being adapted to help them communicate without DNS and IP address filtering.
Data Acquisition in Vehicular Ad Hoc Networks
The data comes from multiple optimal sources in parallel, helping reduce addressing and data-acquisition latency.
Speech Emotion Recognition: Two Decades in a Nutshell, Benchmarks, and Ongoing Trends
Tracing 20 years of progress in making machines hear our emotions based on speech signal properties.
In this paper we define more precisely the never-ending learning paradigm for machine learning, and present one case study: the Never-Ending Language Learner (NELL), which achieves a number of the desired properties of a never-ending learner.
Technical Perspective: Breaking the Mold of Machine Learning
"Never-Ending Learning" is the latest and one of the most compelling incarnations of Tom Mitchell and his collaborators' research investigating how to broaden the machine learning field.
Technical Perspective: Expressive Probabilistic Models and Scalable Method of Moments
The authors of "Learning Topic Models—Provably and Efficiently," developed a new method for fitting topic models and at large scale.
Building a Smart City: Lessons from Barcelona
Smart Internet-based infrastructure is one thing but will be ignored without the public's continuing engagement.
Lessons from Building Static Analysis Tools at Google
For a static analysis project to succeed, developers must feel they benefit from and enjoy using it.
Realizing the Potential of Data Science
Data science promises new insights, helping transform information into knowledge that can drive science and industry.
Learning Topic Models – Provably and Efficiently
This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.
Bridgeware: The Air-Gap Malware
The challenge of combatting malware designed to breach air-gap isolation in order to leak data.
Evolution Toward Soft(er) Products
As software becomes a larger part of all products, traditional (hardware) manufacturers are becoming, in essence, software companies.
The Wisdom of Older Technology (Non)Users
Older adults consistently reject digital technology even when designed to be accessible and trustworthy.
A Programmable Programming Language
As the software industry enters the era of language-oriented programming, it needs programmable programming languages.
If intelligent robots take on a larger role in our society, what basis will humans have for trusting them?
Technical Perspective: On Heartbleed: A Hard Beginnyng Makth a Good Endyng
When a serious security vulnerability is discovered in the SSL/TLS protocol, one would naturally expect a rapid response. "Analysis of SSL Certificate Reissues and Revocations in the Wake of Heartbleed," by Zhang et al., paints a very different picture in the context of the famous Heartbleed vulnerability.
Time-Inconsistent Planning: A Computational Problem in Behavioral Economics
We propose a graph-theoretic model of tasks and goals, in which dependencies among actions are represented by a directed graph, and a time-inconsistent agent constructs a path through this graph.
Technical Perspective: A Graph-Theoretic Framework Traces Task Planning
In "Time-Inconsistent Planning: A Computational Problem in Behavioral Economics," Kleinberg and Oren describe a graph-theoretic framework for task planning with quasi-hyperbolic discounting.
Analysis of SSL Certificate Reissues and Revocations in the Wake of Heartbleed
We use Heartbleed, a widespread OpenSSL vulnerability from 2014, as a natural experiment to determine whether administrators are properly managing their X.509 certificates.
The developer of convolutional neural networks looks at their impact, today and in the long run.
The Next Phase in the Digital Revolution: Intelligent Tools, Platforms, Growth, Employment
Digital technology determines how (and even whether) people work as much as it determines how information produces economic activity.
A Large-Scale Comparative Study of Beta Testers and Regular Users
Beta testers should represent a future product's target users as much as possible.
Elements of the Theory of Dynamic Networks
The challenge of computing in a highly dynamic environment.
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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