The Context Problem in Artificial Intelligence
The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.
Theory
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Building a New Economy: Data, AI, and Web3
How distributed technologies could return more control to users.
How Do Java Mutation Tools Differ?
A framework for aiding future Java mutation tool comparisons.
Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success
Android and iOS privacy labels confuse developers and end users.
Rethinking Silicon Valley: Stewart Brand's Lost Journal
Discovering a hidden chapter in computing history.
Research for Practice: Convergence
The return of a popular feature that shares the joy and utility of reading CS research between academics and their counterparts in industry.
Business, entertainment, and fashion companies already are staking their claims in this enhanced virtual world.
Reliability at Multiple Stages in a Data Analysis Pipeline
Data-centric methods designed to increase end-to-end reliability of data-driven decision systems.
Technical Perspective: The Power of Low-Power GPS Receivers for Nanosats
The work explored in "Hummingbird," by Sujay Narayana et al., focuses on the energy consumption of a typical GPS receiver and its operational challenges in a nanosat setting.
Hummingbird: An Energy-Efficient GPS Receiver for Small Satellites
In this work, we elucidate the design of a low-cost, low-power GPS receiver for small satellites.
Data Platforms and Network Effects
How data-network effects create opportunities and inflate expectations.
We must extend our model of computation to account for cost and location.
Parallel programming wall and multicore software spiral: Denial hence crisis.
How AI Is Driving the Esports Boom
Artificial intelligence is helping the esports industry take the world by storm.
Competition Makes Big Datasets the Winners
Measurement has driven research groups to home in on the most popular datasets, but that may change as metrics shift to real-world quality.
Deconstructing the Bakery to Build a Distributed State Machine
A rigorous journey from the bakery algorithm to a distributed state machine.
Sampling Near Neighbors in Search for Fairness
We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.
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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