Communications of the ACM
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
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
What Is So Great about Quantum Computing?
A Q&A with NIST theorist Alexey Gorshkov.
From ACM Opinion
How to Write Software with Mathematical Perfection
Leslie Lamport revolutionized how computers talk to each other, and now he's working on how engineers talk to their machines.
From ACM Opinion
Computers Have Memories Too
Simons Foundation Junior Fellow Sebastian Wolff discusses his quest to simplify the switch between the two deletion processes.
From ACM Opinion
25 years with cURL
Founder and lead developer Daniel Stenberg discusses looking after cURL and libcurl for the past 25 years.
From ACM Opinion
Connecting Large Language Models to Human Values
AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more
From ACM Opinion
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
From ACM Opinion
Avoiding Defects in C Programming
Computer security specialist details tools and techniques developers can use to write secure code in C
From ACM Opinion
The Benefits of Rust
An in-depth discussion about the virtue of Rust, its future, and more
From ACM Opinion
How Much Has Quantum Computing Actually Advanced?
John Martinis, former chief architect of Google Sycamore, offers a measured perspective on quantum's progress
From ACM Opinion
Self-Supervised Learning and Large Language Models
Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models
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 ACM Opinion
Jeannette Wing: How Computing Has Transformed
Data science expert talks about how trustworthy AI and causal reasoning can help society solve real-world problems
From ACM Opinion
SEC Isn't Hurting Crypto Innovation, Says Industry Leader
Ethereum co-founder Joe Lubin says SEC Chair Gensler may need greater authority over crypto industry
From ACM Opinion
Meta Learning and Model-Based Reinforcement Learning
Stanford professor Chelsea Finn talks about robotics and meta learning research
From ACM Opinion
Should Oversight of Biased AI Be Left Up to People?
Mounting research shows humans may not be up to the task of reigning in runaway algorithms
From ACM Opinion