Communications of the ACM
From Communications of the ACM
Ulterior Motives
2023-2024 ACM Athena Lecturer Margo Seltzer recalls the motivations behind the development of the Berkeley DB database software library, and other achievements...
From ACM Opinion
Francis Enyi on Bridging the Healthcare Deficit in Africa
Francis Enyi, a senior program analyst with Delta State University Teaching Hospital in Nigeri, discusses how his team of software developers, medical personnel...
From ACM Opinion
Talking Software Obsolescence
An interview with Ross John Anderson, professor of Security Engineering at University of Cambridge.
From ACM Opinion
The Researcher Who Would Teach Machines to Be Fair
Princeton computer scientist Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.
From ACM Opinion
AI Expert Weighs In on the Rise of Chatbots
Products like ChatGPT will never be truly ready to go unless we have a working AI technology that supports continuous life-long learning.
From ACM Opinion
How ChatGPT Could Revolutionize Education
Could an AI chatbot change learning forever?
From ACM Opinion
Dense Visual Representations, NeRFs, and LLMs for Robotics
Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models....
From ACM Opinion
Adam Dymitruk on Event Modeling
Exploring the event-modeling approach to discovering requirements and designing software systems.
From ACM Opinion
Yoshua Bengio: The Past, Present, and Future of Deep Learning
2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.
From ACM Opinion
Software Engineering in Physics Research
A discussion on how physics research scientists use software.
From ACM Opinion
The Computer Scientist Who Is Boosting Privacy on the Internet
Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.
From ACM Opinion
AI and ML Observability
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
From ACM Opinion
Designing to Avoid Worst-Case Outcomes
Interaction designer Jonathan Shariat discusses harmful software design.
From ACM Opinion
Linguistics and the Development of NLP
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...
From ACM Opinion
The AI Researcher Giving Her Field Its Bitter Medicine
Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.
From ACM Opinion
Supercomputer Emulator: AI's New Role in Science
Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.
From ACM Opinion
'The New Generation of Computer Scientist Wants to Benefit Society'
Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.
From ACM Opinion
Interpretable Machine Learning
A conversation with Been Kim, staff research scientist at Google Brain.
From ACM Opinion