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25 years with cURL
From ACM Opinion

25 years with cURL

Founder and lead developer Daniel Stenberg discusses looking after cURL and libcurl for the past 25 years.

Systems Abstractions
From Communications of the ACM

Systems Abstractions

Computing professionals use powerful abstractions to tame complexity in large software systems and distributed networks.

Getting Off the Mad Path
From Communications of the ACM

Getting Off the Mad Path

Debuggers and assertions.

Explainable AI
From Communications of the ACM

Explainable AI

Opening the black box or Pandora's Box?

Yoshua Bengio: 'I Have Rarely Been as Enthusiastic about a New Research Direction'
From ACM Opinion

Yoshua Bengio: 'I Have Rarely Been as Enthusiastic about a New Research Direction'

Yoshua Bengio gushes about GFlowNets, calling them "a new beast" for which the appropriate optimization algorithms are still making rapid progress

The Troubling Future for Facial Recognition Software
From Communications of the ACM

The Troubling Future for Facial Recognition Software

Considering the myriad perspectives of facial recognition technology.

Bursting a Few Balloons Regarding the Famous DARPA Red Balloon Challenge
From Communications of the ACM

Bursting a Few Balloons Regarding the Famous DARPA Red Balloon Challenge

A balloon's-eyeperspective on a unique distributed, time-critical, geo-location problem.

Is a Privacy Crisis Experienced, a Privacy Crisis Avoided?
From Communications of the ACM

Is a Privacy Crisis Experienced, a Privacy Crisis Avoided?

Exploring immersive theatre as a way to educate audiences and study their perceptions of privacy and technology ethics.

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.
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