Featured Event
Featured News
Princeton University is leading the way in fostering community and collaboration among researchers in robotics and artificial intelligence. On Nov. 4, the University hosted the Princeton Symposium on Safe Deployment of Foundation Models in Robotics.
Next Event
Lunch is available beginning at 12 PM
Speaker to begin promptly at 12:30 PM
This talk will feature discussions from Jonathan Pillow and Helena Liu.
The process of learning new behaviors is of great interest in neuroscience and artificial intelligence. However, most standard analyses of training data either…
Open Positions
As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track faculty members across all science, engineering, social science, and humanities areas. This initiative will involve multiple faculty hires over the next several years. We are particularly interested in applicants…
Latest News
As the inaugural director of the Princeton Laboratory for Artificial Intelligence (AI Lab, for short), Tom Griffiths is helping to shape the future of AI research at Princeton. The AI Lab is an incubator that provides resources to allow Princeton researchers across disciplines to explore AI’s potential impact in their fields.…
A team of researchers at Princeton University led by Minjie Chen, associate professor co-appointed in the Department of Electrical and Computer Engineering and the Andlinger Center for Energy and the Environment, has been awarded the First Place Prize Paper Award for 2023 in the IEEE Transactions on Power Electronics.
In an article in the journal Patterns, Olga Russakovsky, associate professor of computer science and associate director of the Princeton AI Lab, argues for a multidimensional approach in which fairness is evaluated on several levels depending on the context of the application.
When the human body breaks down food or drugs or even its own tissue, it produces small molecules called metabolites. Using analytical techniques, researchers can typically detect thousands of small molecules in a sample of human tissue. While many of these molecules may be known, much of the small molecules in a given sample are unidentifiable to researchers for one reason or another. Identifying these unknowns is a question of scientific interest.