Center for Statistics and Machine Learning participating faculty members Aleksandra Korolova and Olga Russakovsky are among the 2024 recipients of the Presidential Early Career Awards for Scientists and Engineers (PECASE). The PECASE award is the highest honor given by the U.S. government to early career scientists and engineers.
The fundamental importance of diversity led Assistant Professor of Computer Science Adji Bousso Dieng to develop the Vendi Score, a metric which can be applied to evaluate and promote better diversity in generative models and datasets, among other applications.
Princeton Class of 2025 member James Zhang has been named a Schwarzman Scholar and will attend a one-year, fully funded master’s degree program in global affairs at Tsinghua University in Beijing.
With the help of machine learning, Peter Melchior, assistant professor of statistical astronomy at Princeton University’s Department of Astrophysical Sciences and the Center for Statistics and Machine Learning, is working to maximize the value of the information extracted from datasets. “We’re trying to find the limit of what the data can tell us in order to tease out more information about galaxies,” said Melchior.
Researchers from Princeton University and the University of Arizona have created a simulation that maps underground water on a continental scale. The simulation, published January 6 in Nature Water, shows that rainfall and snowmelt flows much farther underground than previously understood and that more than half the water in streams…
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.
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.