Industry-Scale Knowledge Graphs: Lessons and Challenges
Five diverse technology companies show how it's done.
Computing Applications
Advertisement
Scaling Static Analyses at Facebook
Key lessons for designing static analysis tools deployed to find bugs in hundreds of millions of lines of code.
Activity-Centric Computing Systems
The ability to build a construct that organizes work from different devices and information resources is as complex as it is invaluable.
Tracing the tangled web of unsolicited and undesired email and possible strategies for its demise.
In trying to "drown" the opposition with daily online elections, I didn't realize they could wash me away.
Lazy Developers Are the Best Developers
Lazy developers stick to the project scope while forcing the project team to understand and fix their own code and issues.
At a U.N. hackathon, open source developers strive to mitigate the impact of natural disasters.
The Edge of Computational Photography
Smartphones and consumer cameras increasingly give professional photographers a run for their money.
Access Controls and Healthcare Records: Who Owns the Data?
A discussion with David Evans, Richard McDonald, and Terry Coatta.
Unifying Logical and Statistical AI with Markov Logic
Markov logic can be used as a general framework for joining logical and statistical AI.
Internet of Things Search Engine
Tracing the complicated yet still relatively unripe area of the Internet of Things search engine—from concepts, to classification, and open issues.
Hazardous Enthusiasm and How Eagerness Can Kill A Project
Many otherwise competent software developers and potential contributors end up being overwhelmed by "hazardous enthusiasm." They end up overwhelmed by their excitement and instead of implementing gradual change, they try to redo entire projects. Let's take a look at what I mean.
Today's facial recognition tools raise new questions about how, where, and when data can be used.
A Design Perspective on Computational Thinking
Maybe we can just design away the need to teach computational thinking
Is CS Really for All, and Defending Democracy in Cyberspace
Mark Guzdial mulls the difficulty of getting into a computer science class, while John Arquilla ponders political warfare in cyberspace.
How long can the silicon foundry sector continue to adapt, as physical limits make further shrinkage virtually impossible?
Lifelong Learning in Artificial Neural Networks
New methods enable systems to rapidly, continuously adapt.
Garbage Collection as a Joint Venture
A collaborative approach to reclaiming memory in heterogeneous software systems.
Research for Practice: Troubling Trends in Machine-Learning Scholarship
Some ML papers suffer from flaws that could mislead the public and stymie future research.
The Challenge of Crafting Intelligible Intelligence
To trust the behavior of complex AI algorithms, especially in mission-critical settings, they must be made intelligible.
The Limit of Blockchains: Infeasibility of a Smart Obama-Trump Contract
Although smart contracts are Turing complete, it is a misconception that they can fulfill all routine contracts.
Technical Perspective: Compressing Matrices for Large-Scale Machine Learning
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning via Compressed Linear Algebra" seeks to address many of these challenges by applying database ideas.
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.
Learn More