Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
From Communications of the ACM
Copyright Implications of Emulation Programs
How emulation programs might be affected by new claims of copyright infringement.
From ACM Opinion
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
From Communications of the ACM
The Lives of Hidden Figures Matter in Computer Science Education
"I cannot work on what I cannot see . . ." —Katherine Goble, Hidden Figures
From ACM Opinion
Is LiDAR on Its Way Out?
As automation proliferates, sensing is increasingly moving toward software and away from LiDAR
From ACM Opinion
Why Better AI May Depend on Fake Data
Synthetic data can provide AI with a broader education than real-world data, but challenges exist
From ACM Opinion
Robot Learning at Google and Generalization via Language
Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning
From ACM Opinion
2021 Was the Year of Monster AI Models
GPT-3 kicked off a new trend in AI for bigger and bigger models, but how large will they get?
From Communications of the ACM
Artificial Intelligence Across Company Borders
Enabling effective cross-company AI without data disclosure.
From Communications of the ACM
Addressing Algorithmic Discrimination
Considering the intersection of technical design and civil rights when building and using classification algorithms.
From ACM Opinion
Securing Kubernetes Environments
Lack of resources is a massive blocker, so IT leaders need to prioritize
From ACM Opinion
Four AI Trends for 2022
Look for improvements to neural networks, strategic ethics, hiring practices, and even gastronomy
From ACM Opinion
Be Wary of Trusting Algorithms in Volatile Markets
IT leaders can prevent disaster by understanding and articulating the risks of relying on increasingly complex algorithms
From ACM Opinion
The Inherent Limitations of GPT-3
Why GPT-3 as is will not cost many people their jobs or soon lead to AGI
From Communications of the ACM
Computational Thinking for Professionals
Professionals practice a form of computational thinking that is significantly more advanced than popular descriptions suggest.
From ACM Opinion
Anne Carpenter: Her Machine Learning Tools Pull Insights from Cell Images
Computational biologist brings the power of machine learning to researchers seeking answers in mountains of cell images
From Communications of the ACM
Medical Artificial Intelligence: The European Legal Perspective
Although the European Commission proposed new legislation for the use of "high-risk artificial intelligence" earlier this year, the existing European fundamental...
From Communications of the ACM
Explicative Programming
Making Computational Thinking relevant to schools.
From Communications of the ACM
Text and Data Mining of In-Copyright Works: Is It Legal?
How copyright law might be an impediment to text and data mining research.
From ACM Opinion