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A Call to Action
From Communications of the ACM

A Call to Action

Digital dreams have become nightmares: What we must do.

Connecting Large Language Models to Human Values
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

Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University

I Unplugged What?
From Communications of the ACM

I Unplugged What?

The lessons here are broader than just a simple "Don't do that."

Becoming Universal
From Communications of the ACM

Becoming Universal

A new history of modern computing.

A Brave New World of Mediated Online Discourse
From Communications of the ACM

A Brave New World of Mediated Online Discourse

Is artificial intelligence up to the task of managing online discourse in social networks?

Avoiding Defects in C Programming
From ACM Opinion

Avoiding Defects in C Programming

Computer security specialist details tools and techniques developers can use to write secure code in C

Individual AI, a New Technology that Will Change Our World?
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?

Deep Learning Can't Be Trusted
From ACM Opinion

Deep Learning Can't Be Trusted

Brain modeling pioneer Stephen Grossberg explains why his ART model is better

The Benefits of Rust
From ACM Opinion

The Benefits of Rust

An in-depth discussion about the virtue of Rust, its future, and more

What Does It Mean for AI to Understand?
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

The Growing Cost of Deep Learning for Source Code
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.

The Long Road Ahead to Transition to Post-Quantum Cryptography
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.

How Much Has Quantum Computing Actually Advanced?
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

Why We Must Rethink AI Benchmarks
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

What Every Engineer and Computer Scientist Should Know
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.

Patent Absurdity
From Communications of the ACM

Patent Absurdity

A case when ignorance is the best policy.

Accelerator-Level Parallelism
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...

'In Situ' Data Rights
From Communications of the ACM

'In Situ' Data Rights

Improving on data portability.

Self-Supervised Learning and Large Language Models
From ACM Opinion

Self-Supervised Learning and Large Language Models

Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models
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