Communications of the ACM
Where Is the Research on Cryptographic Transition and Agility?
Gaps facing the industry as quantum safe algorithms move closer to standardization.
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....
From ACM Opinion
Artificial Intelligence and the Future of Demos
One way to examine the relationship between AI and democracy is to turn the attention toward the very basic unit common to all forms of democracy: the people.
From ACM Opinion
Open-Endedness and Evolution through Large Models
A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.
From ACM Opinion
Linguistics and the Development of NLP
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...
From ACM Opinion
Interpretable Machine Learning
A conversation with Been Kim, staff research scientist at Google Brain.
From ACM Opinion
AI Is Ushering In a New Scientific Revolution
AI is transforming the scientific process, automating and adding to what people can accomplish using it.
From ACM Opinion
Teaching Robots to Help People in Their Everyday Lives
An interview with Max Braun of Everyday Robots.
From ACM Opinion
The Missing Voices in Natural Language Processing
Who and what is being represented in the data and development of NLP models?
From ACM Opinion