Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
Systems and Networking
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Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
Extracting the Essential Simplicity of the Internet
Looking past inessential complexities to explain the Internet's simple yet daring design.
Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning
"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models when enumeration is infeasible in a clean, beautiful, and elegant manner.
The QR code, a convenient mechanism for delivering digital information to a reader, does not come with any human-readable way to ascertain safety. You have no way to tell whether it is potentially malicious.
Why the Simplex Method, at Age 75, is Still the Go-To Algorithm
Daniel A. Spielman and colleague Shang-hua Teng solved the mystery of the Simplex Method using a technique called smoothed analysis.
Why Data Security Is An Issue For Business Phone Systems In 2023
A discussion of the most common phone scams, how they work, and how to protect yourself from them.
NIST Post-Quantum Cryptography Candidate Cracked
It took researchers in Belgium just an hour to crack the SIKE cryptographic algorithm.
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
Mining the Margins to Save Lives
Using artificial intelligence to ensure fewer donated kidneys are discarded, and that food donations make it to those in need via what is fast becoming an Internet of Food.
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
Small-scale CAD/CAM tools are among the high-tech capabilities being added to the arsenals of increasingly digital dentists.
A review of network science and complexity theory as they apply to the ability of systems to resist stress and recover from faults.
ACE: Toward Application-Centric, Edge-Cloud, Collaborative Intelligence
Constructing a unified platform for the scalable, reliable, robust, and efficient development and deployment of ECCI applications.
Democratizing Domain-Specific Computing
Creating a programming environment and compilation flow that empowers programmers to create their own DSAs efficiently and affordably on FPGAs.
A Linearizability-based Hierarchy for Concurrent Specifications
Two linearizability-style correctness conditions that can be used to argue safety properties of progressively more concurrent behaviors of objects.
From Quantum Computing to Quantum Communications
Attempting to disentangle mechanical principles.
Are Software Updates Useless against Advanced Persistent Threats?
Considering the conundrum of software updates.
Error Control Begins to Shape Quantum Architectures
The overhead of error correction presents a serious challenge to scaling up quantum computing and may produce unexpected winners.
Making Traffic a Thing of the Past
New AI technologies are making it possible to autonomously reduce traffic.
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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