acm-header
Sign In

Communications of the ACM

Recent Interviews


bg-corner

Alexey Makarin on Why Social Media Harms Youth Mental Health
From ACM Opinion

Alexey Makarin on Why Social Media Harms Youth Mental Health

MIT Professor Alexey Makarin, whose research was cited in Social Media and Youth Mental Health, a recent advisory report by the U.S. surgeon general, discusses...

The Researcher Who Would Teach Machines to Be Fair
From ACM Opinion

The Researcher Who Would Teach Machines to Be Fair

Princeton computer scientist Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.

An AI Bill of Rights
From ACM Opinion

An AI Bill of Rights

Suresh Venkatasubramanian, professor of Computer Science and Data Science at Brown University, discusses the "Blueprint for an AI Bill of Rights" and more.

Dense Visual Representations, NeRFs, and LLMs for Robotics
From ACM Opinion

Dense Visual Representations, NeRFs, and LLMs for Robotics

Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models....

Adam Dymitruk on Event Modeling
From ACM Opinion

Adam Dymitruk on Event Modeling

Exploring the event-modeling approach to discovering requirements and designing software systems.

Yoshua Bengio: The Past, Present, and Future of Deep Learning
From ACM Opinion

Yoshua Bengio: The Past, Present, and Future of Deep Learning

2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.

Software Engineering in Physics Research
From ACM Opinion

Software Engineering in Physics Research

A discussion on how physics research scientists use software.

The Computer Scientist Who Is Boosting Privacy on the Internet
From ACM Opinion

The Computer Scientist Who Is Boosting Privacy on the Internet

Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.

AI and ML Observability
From ACM Opinion

AI and ML Observability

Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
Sign In for Full Access
» Forgot Password? » Create an ACM Web Account