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
Microsoft's Chris Young on Bringing AI to Main Street
Christopher Young, Microsoft's top strategy executive, views non-tech customers as artificial intelligence's big untapped market.
From ACM Opinion
Alexey Makarin on Why Social Media Harms Youth Mental Health
MIT Professor Alexey Makarin, whose research was cited in Social Media and Youth Mental Health, a recent advisory report by the U.S. surgeon general, discusses...
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
An AI Bill of Rights
Suresh Venkatasubramanian, professor of Computer Science and Data Science at Brown University, discusses the "Blueprint for an AI Bill of Rights" and more.
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
Open-Endedness and Evolution through Large Models
A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.
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
I Was There When: AI Helped Create a Vaccine
An interview with Dave Johnson, chief data and artificial intelligence officer at Moderna.
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
The Computer Scientist Challenging AI to Learn Better
Christopher Kanan is building algorithms that can continuously learn over time—the way people do.
From ACM Opinion
Matthew Ball on the Metaverse
Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.
From ACM Opinion