2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field. The Gradient From ACM Opinion | November 22, 2022
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.
The Gradient From ACM Opinion | September 26, 2022
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...The Gradient From ACM Opinion | September 9, 2022
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
AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more
The Gradient From ACM Opinion | February 4, 2022
Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning
The Gradient From ACM Opinion | January 10, 2022
Stanford postdoctoral fellow discusses research exploring impact of AI in a possible U.S.-China power transition
The Gradient From ACM Opinion | November 23, 2021
Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models
The Gradient From ACM Opinion | November 16, 2021
Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society
The Gradient From ACM Opinion | November 8, 2021