Motion Sickness a Major Problem with Self-Driving Cars
Motion sickness could prevent some of the benefits expected from autonomous vehicles.
Systems and Networking
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The March Into the Black Hole of Complexity
Addressing the root causes of rapidly increasing software complexity.
Research for Practice: Cluster Scheduling for Datacenters
Expert-curated guides to the best of CS research.
Automated canarying quickens development, improves production safety, and helps prevent outages.
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.
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.
When all online news and comment can be digitally manipulated, some might recall a more trustworthy way to spread the word.
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.
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.
Using Functions for Easier Programming
Functional programming languages automate many of the details underlying specific operations.
Shrinking Machines, Cellular Computers
Scientists are using DNA and RNA to build the world's tiniest robots and computing devices.
The Search for niversal Memory
The search for a universal memory is aimed at ultimately replacing the entire computer memory hierarchy with a single technology.
Looking for artificial intelligence that can share the basis for its decisions.
The creators of malicious code could be unmasked by a machine learning de-anonymizer.
Seeding a Level Playing Field for ‘Dr. AI’
Algorithms must be trained on current health data to be useful.
Pressure Building for Rules of Engagement for Cyberwarfare
The call for an international legal framework governing cyberwarfare is gaining momentum.
A Brown University team develops a way to 'score' robots for being more (or less) like people.
Automation that helps doctors perform surgery also will help them learn to be better surgeons.
ACM is under significant pressure to move from a subscription-based to an open access publishing model. Such a transition is exceedingly challenging and would threaten ACM's financial viability, a risk that must be taken seriously.
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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