Communications of the ACM
Considering the Impact of Technology on Society
Moshe Vardi on having the difficult conversation about technology and social responsibility.
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 ACM Opinion
Democratizing LLMs Needs a Revolution in AI Hardware
Hardware barriers must be overcome to make LLMs available to a broader audience.
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
Software Engineering Lessons
Software engineer, consultant, and author Karl Wiegers discusses specific practices based on his 50 years of experience in the industry.
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
Quantifying Computing Power and Innovation
Rapid increases in chip speed and power have fueled innovation in many industries, but the future trajectory of that progress may be in jeopardy.
From ACM Opinion
Yann LeCun's Bold New Vision for the Future of AI
One of deep learning's godfathers pulls together old ideas to sketch out a fresh path for AI.
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
Intro to Model-Free and Model-Based Reinforcement Learning
Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.
From ACM Opinion
Testing in Python with pytest
Software engineer discusses the popularity and use of pytest for Python testing.
From ACM Opinion
Lina Khan, a Big Tech Critic, Tries Answering Detractors
In an interview, the FTC chair lays out some of her plans now that she has a Democratic majority at the agency.
From ACM Opinion
Teaching Robots to Help People in Their Everyday Lives
An interview with Max Braun of Everyday Robots.
From ACM Opinion
Why Science Needs More Research Software Engineers
Ten years after their profession got its name, research software engineers seek to swell their ranks.
From ACM Opinion
What Is So Great about Quantum Computing?
A Q&A with NIST theorist Alexey Gorshkov.
From ACM Opinion