ACM
Sign In
Go
ACM.org
Join ACM
About Communications
ACM Resources
Alerts & Feeds
Communications of the ACM
Home
Current Issue
Current Issue: June 2022
Always Improving Performance
Our House Is On Fire
Methods Included
VIEW TABLE OF CONTENTS
News
Latest News
News Archive
Blogs
About the Blogs
BLOG@CACM
Blogroll
Blogs Archive
Opinion
Articles
Interviews
Opinion Archive
Research
Latest Research
Research Archive
Practice
Latest Practice
Practice Archive
Careers
Search for Jobs
Post a Resume
Post A Job
Advertise with Us
Contact Us
Archive
The magazine archive includes every article published in
Communications of the ACM
for over the past 50 years.
June 2022 (Vol. 65, No. 6)
May 2022 (Vol. 65, No. 5)
April 2022 (Vol. 65, No. 4)
VIEW MORE ISSUES
Videos
Recent Opinion
Articles
Interviews
Vardi's Insights
Opinion Archive
Refine your search:
date
Past Week
subject
Software
AUTHOR
TechTalks
The Gradient
The New Yorker
Protocol
U.S. Needs New 'Manhattan Project' to Avoid Cyber Catastrophe
From ACM Opinion
Without dramatic action, a cyber catastrophe is nearly inevitable.
Newsweek
|
May 19, 2022
From ACM Opinion
The Problem with Blaming Robots for Taking Our Jobs
For decades, the effects of automation have been fiercely debated. Are we missing the bigger picture?
The New Yorker
From ACM Opinion
|
May 19, 2022
From ACM Opinion
Mark Zuckerberg on His Big Metaverse Bet
Meta CEO explains why he is committed to the metaverse and able to make bets that others will not.
Protocol
From ACM Opinion
|
May 18, 2022
From ACM Opinion
Lessons From Deploying Deep Learning to Production
Peter Gao, an early engineer at Cruise, reflects on his experience deploying deep-learning models into production.
The Gradient
From ACM Opinion
|
May 18, 2022
From ACM Opinion
Can Large Language Models Be Democratized?
The very nature of large language models is undemocratic and in favor of the companies that publicize them.
TechTalks
From ACM Opinion
|
May 16, 2022
Sign In
for Full Access
User Name
Password
» Forgot Password?
» Create an ACM Web Account
Sign In