Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
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
Blowing Up the Internet...to Protect Kids Online
Framed as a bill to protect kids online, the California Age Appropriate Design Code Act would radically reshape the Internet—and harm both kids and adults.
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 News
We Need to Talk About How Good AI Is Getting
We are in a golden age of progress in artificial intelligence, and it is time to start taking its potential and risks seriously.
From ACM Opinion
Software Can Do Better than 'Male,' 'Female,' and 'Other'
Providing more-expansive gender options is not a difficult coding problem.
From ACM Opinion
Interpretable Machine Learning
A conversation with Been Kim, staff research scientist at Google Brain.
From Communications of the ACM
Let Us Not Put All Our Eggs in One Basket
Toward new research directions in computer science.
From Communications of the ACM
The Atlas Milestone
Celebrating virtual memory, which has made such a difference in how we approach programming, memory management, and secure computing.
From ACM Opinion
Recent Dip in Chip Demand Will Not Doom CHIPS-Plus Act
However, critics still have plenty of reasons to be skeptical about the subsidies.
From ACM Opinion
The U.S. Needs Its Own Chips
Regardless of what happens between Taiwan and China, the U.S. needs to be prepared.
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
Can Neural Networks Learn Better than Human Neurons?
When AI programmers stop trying to copy the human neuron, neural networks make much better progress.
From ACM Opinion
Why Can't Tech Fix Its Gender Problem?
A new generation of tech activists, organizers, and whistleblowers, most of whom are female, non-white, gender-diverse, or queer may bring change.
From ACM Opinion
Meta's Message Encryption Was Built to Fail
Chat between a teen and her mom about an alleged abortion helped police build their case.
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
