JavaScript Language Design and Implementation in Tandem
A proposal to first design a language in a mechanized specification, and the advantages that follow.
Research and Advances
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Computing Education in the Era of Generative AI
Computing educators and students face challenges and opportunities in adapting to LLMs capable of generating accurate source code from natural-language problem descriptions.
Nand to Tetris: Building a Modern Computer System from First Principles
CS course walks students through a step-by-step construction of a complete, general-purpose computer system—hardware and software—in one semester.
A Roadmap for Using Continuous Integration Environments
The rise of automated practices to enhance software evaluation.
Biocomputation: Moving Beyond Turing with Living Cellular Computers
The information processing link between computer science and molecular biology.
Language-Based Software Testing
Constraints over grammar elements can make test generation easier than ever.
Fast Parameterized Preprocessing for Polynomial-Time Solvable Graph Problems
The challenge of transforming polynomialtime algorithms to really efficient ones.
A Small Clue Made of Fragmented Pieces
The effect of online comment history disclosure on digital citizenship.
The Science of Detecting LLM-Generated Text
A technical introduction to LLM-generated text detection methods.
Co-Developing Programs and Their Proof of Correctness
There have been some successes with program verification systems, but they are still perceived as a niche activity for the most critical and specialized projects.
A Unifying Framework for Incompleteness, Inconsistency, and Uncertainty in Databases
Deploying possible world semantics and the challenge of computing the certain answers to queries.
Measuring GitHub Copilot’s Impact on Productivity
A case study asks Copilot users about the tool's impact on their productivity, and seeks to find their perceptions mirrored in user data.
Anthropomorphism and Human-Robot Interaction
Humans are more likely to interact with robots if the robots look human.
Talking about Large Language Models
It is a serious mistake to apply to AI systems the same intuitions that we deploy in our dealings with each other.
Energy and Emissions of Machine Learning on Smartphones vs. the Cloud
An extensive study from Google finds machine-learning training in the cloud can significantly reduce carbon footprints.
Inherent Limitations of AI Fairness
AI fairness should not be considered a panacea: It may have the potential to make society more fair than ever, but it needs critical thought and outside help to make it happen.
Shortcut Learning of Large Language Models in Natural Language Understanding
Shortcuts often hinder the robustness of large language models.
On Specifying for Trustworthiness
As autonomous systems increasingly become part of our lives, it is crucial to foster trust between humans and these systems, to ensure positive outcomes and mitigate harmful ones.
What Should We Do when Our Ideas of Fairness Conflict?
Standards for fair decision making could help us develop algorithms that comport with our consensus views; however, algorithmic fairness has its limits.
10 Things Software Developers Should Learn about Learning
Understanding how human memory and learning works, the differences between beginners and experts, and practical steps developers can take to improve their learning, training, and recruitment.
Understanding and handling interference across multiple active cameras.
Theoretical Analysis of Edit Distance Algorithms
To what extent have the techniques for theoretical analysis of edit distance algorithms achieved their goals?
Data Analytics Anywhere and Everywhere
Mobile, ubiquitous, and immersive computing appear poised to transform visualization, data science, and data-driven decision making.
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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