Communications of the ACM
Avoiding Defects in C Programming
Computer security specialist details tools and techniques developers can use to write secure code in C
From ACM Opinion
Individual AI, a New Technology that Will Change Our World?
Is the next version of AI a technological symbiosis of the human brain and the computer system?
From ACM Opinion
Deep Learning Can't Be Trusted
Brain modeling pioneer Stephen Grossberg explains why his ART model is better
From ACM Opinion
The Benefits of Rust
An in-depth discussion about the virtue of Rust, its future, and more
From ACM Opinion
What Does It Mean for AI to Understand?
It's simple enough for AI to seem to comprehend data, but devising a true test of a machine's knowledge has proved difficult
From Communications of the ACM
The Growing Cost of Deep Learning for Source Code
Attempting to mitigate problems associated with the trend toward massive dataset scaling.
From Communications of the ACM
The Long Road Ahead to Transition to Post-Quantum Cryptography
Anticipating the output of the competition for new cryptographic algorithms.
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
Why We Must Rethink AI Benchmarks
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
From Communications of the ACM
What Every Engineer and Computer Scientist Should Know: The Biggest Contributor to Happiness
Seeking the fundamental factors instrumental to happiness.
From Communications of the ACM
Accelerator-Level Parallelism
Charging computer scientists to develop the science needed to best achieve the performance and cost goals of accelerator-level parallelism hardware and software...
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
'Yeah, We're Spooked', Says Expert about AI's Potential Impact
Professor Stuart Russell says field of AI needs to grow up quickly to ensure humans remain in control
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
Strong AI Requires Autonomous Building of Composable Models
Models built by AI must encode the fundamental patterns of experience
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 Communications of the ACM
