Monday, Nov 23, 2020
by Sharon Adarlo

With the launch of the Gaia satellite in 2013, scientists have been receiving an unprecedented quantity and quality of data on a billion stars in the Milky Way. But the data sets are incomplete. Gaia does not currently provide the complete position and velocity coordinates for all billion stars.

Wednesday, Nov 18, 2020
by Sharon Adarlo

It is common for researchers to conduct field studies to study mass social behavior in online networks, such as Facebook or Reddit. These studies lead to qualitative-based conclusions. However, until recently, replicating these interactions in the lab and at scale has been hard to do.

Monday, Nov 16, 2020
by Sharon Adarlo

Over the last several years, researchers have developed advanced machine learning tools to provide captions for still images and video. Applications for advanced image caption tools could include an assistant robot for the visually impaired or a robot that performs reconnaissance missions in environments inhospitable to humans...

Wednesday, Nov 11, 2020
by Sharon Adarlo

Neural networks can study and model complex conditions at the macro scale, such as weather patterns or the movement of heavenly bodies, but researchers at Princeton University have also been applying this tool to ever smaller objects, yielding potentially valuable contributions for chemistry, physics and quantum computing.

Friday, Nov 6, 2020
by Sharon Adarlo

Tabitha Belshee, 22, Class of 2020


Wednesday, Oct 28, 2020
by Sharon Adarlo
Jean-Jacques’s independent project for her CSML certificate focused on developing a machine learning model to predict life outcomes of people. This model was based on data from the Fragile Families and Child Wellbeing study, which is a joint effort between Princeton and Columbia universities. The study follows a cohort of nearly 5,000 children...
Wednesday, Oct 21, 2020

Prateek Mittal, associate professor of electrical engineering at Princeton University, is here to discuss his team's research into how hackers can use adversarial tactics toward artificial intelligence to take advantage of us and our data.


Monday, Oct 12, 2020

Researchers at Princeton University have developed a tool that flags potential biases in sets of images used to train artificial intelligence (AI) systems. The work is part of a larger effort to remedy and prevent the biases that have crept into AI systems that influence everything from credit services to courtroom sentencing programs.

Monday, Oct 5, 2020
by Sharon Adarlo
The video features our director, Peter Ramadge, and Susan Johansen, academic program coordinator, and Ellen DiPippo, DataX project manager, while they highlight CSML programming for faculty, researchers and students.
Monday, Oct 5, 2020
With the support of a gift from Microsoft Corporation, the Center for Statistics and Machine Learning (CSML) is pleased to announce a call for proposals for Azure cloud computing grants and mini-grants. The grants are available to both faculty and students and can support computational data science research across a variety of domain areas, e.g....