Communications of the ACM
DEPARTMENT: Cerf's up
DEPARTMENT: Editorial
DEPARTMENT: Vardi's insights
DEPARTMENT: ACM's election
DEPARTMENT: Letters to the editor
DEPARTMENT: BLOG@CACM
COLUMN: News
COLUMN: Law and technology
COLUMN: Privacy and security
COLUMN: Education
COLUMN: Viewpoint
SECTION: Practice
SECTION: Contributed articles
SECTION: Review articles
SECTION: Research highlights
COLUMN: Last byte
Turing Test 2
Computer programs are being used to emulate humans to fool less-sophisticated programs into treating computer-generated actions as if they originate from a human. This is an important practical problem.DEPARTMENT: Editorial
Toward Sustainable Access: Where Are We Now?
The publishing landscape is changing, and ACM with it. We take this opportunity to describe what ACM thinks about recent trends, recent changes, and the future.DEPARTMENT: Vardi's insights
How We Lost the Women in Computing
We cannot understand the current gender disparity in computing without understanding the history of women in computing. How did we lose the women in computing? They did not just leave; they were pushed out.DEPARTMENT: ACM's election
ACM's 2018 General Election
Meet the candidates who introduce their plans—and stands—for the Association.DEPARTMENT: Letters to the editor
Get ACM (and Communications) Out of Politics
Recent editorial policy seems to have let ACM morph into what I would call the left-leaning ACM.DEPARTMENT: BLOG@CACM
Commenting on Code, Considering Data's Bottleneck
Edwin Torres considers the enduring value of code comments, while Walid Saba wonders if we have overreacted to the knowledge acquisition bottleneck.COLUMN: News
Shrinking Machines, Cellular Computers
Scientists are using DNA and RNA to build the world's tiniest robots and computing devices.Using Functions for Easier Programming
Functional programming languages automate many of the details underlying specific operations.Finding a Healthier Approach to Managing Medical Data
Researchers are exploring ways to put medical data to greater use while better protecting privacy.COLUMN: Law and technology
Is the Law Ready for Driverless Cars?
Yes, with one big exception.COLUMN: Privacy and security
Putting Trust in Security Engineering
Proposing a stronger foundation for an engineering discipline to support the design of secure systems.COLUMN: Education
Scale or Fail
Moving beyond self-selected computer science education in Switzerland.COLUMN: Viewpoint
The March Into the Black Hole of Complexity
Addressing the root causes of rapidly increasing software complexity.Science, Policy, and Service
Some thoughts on the way forward.SECTION: Practice
Research for Practice: Cluster Scheduling for Datacenters
Expert-curated guides to the best of CS research.Canary Analysis Service
Automated canarying quickens development, improves production safety, and helps prevent outages.How Is Your Week Going So Far?
Praise matters just as much as money.SECTION: Contributed articles
More Than the Code: Learning Rules of Rejection in Writing Programs
A teacher and students coding together make explicit the unwritten rules of programming.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.SECTION: Review articles
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.SECTION: Research highlights
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.Never-Ending Learning
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 …COLUMN: Last byte
