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…
From ACM Opinion
Five Questions for Brenda Darden Wilkerson
Former AnitaB.org president/CEO discusses AI, diversity in tech, and much more.
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
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
Designing to Avoid Worst-Case Outcomes
Interaction designer Jonathan Shariat discusses harmful software design.
From ACM Opinion
The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity
Franciscan monk Paolo Benanti is the brains behind the Rome Call, a pact aimed at making sure AI is developed with ethics in mind.
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
'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
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
How to Solve AI's 'Common-Sense' Problem
AI systems without common sense will make mistakes when they reach the limits of where they've been trained.
From Communications of the ACM
An Interview with Dana Scott
ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.
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
Can Computers Be Mathematicians?
Artificial intelligence has bested humans at problem-solving challenges like chess and Go. Is mathematics research next?
From ACM Opinion
'Video Games Are for Boys'
Hopscotch app co-founder Samantha John discusses her journey from avoiding video games to helping kids create them.
From ACM Opinion
The Computer Scientist Who Parlays Failures into Breakthroughs
An interview with Yale University Sterling Professor of Computer Science Daniel Spielman.
From ACM Opinion