Wednesday, Feb 3, 2021
by Sharon Adarlo
In his CSML independent project, which he completed in his junior year, Charles Zhao applied machine learning techniques to extract information from images captured by large, powerful telescopes. Specifically, Zhao looked at galaxies’ central nuclei, which consist of a black hole and other astronomical phenomena and features. In this nucleus,...
Friday, Jan 29, 2021
by John Sullivan
Spurred by the demands of the COVID-19 pandemic, researchers at Princeton and Google are applying mechanical engineering and artificial intelligence in an effort to increase the availability and effectiveness of ventilation treatments worldwide.
Monday, Jan 11, 2021
by Sharon Adarlo
In her undergraduate research, Dora Zhao has been delving into the intersection of race/gender bias and artificial intelligence, which has manifested in two separate projects - one for her CSML independent project and another for her senior thesis. In her CSML independent project, which she completed in her junior year, Zhao audited facial...
Monday, Jan 4, 2021
by Sharon Adarlo
Cofer is a doctoral student in quantitative and computational biology and is pursuing the Graduate Certificate from the Center for Statistics and Machine Learning (CSML). He works with Professor Olga Troyanskaya, jointly appointed in Computer Science and the Lewis-Sigler Institute for Integrative Genomics. Before assuming his Ph.D. studies, he...
Wednesday, Dec 2, 2020

One of the most promising new cancer therapies involves engineering cells from the body's own immune system to attack tumors, but tuning those attackers to spare healthy tissues has been challenging.

Monday, Nov 30, 2020

A small drone takes a test flight through a space filled with randomly placed cardboard cylinders acting as stand-ins for trees, people or structures. The algorithm controlling the drone has been trained on a thousand simulated obstacle-laden courses, but it’s never seen one like this. Still, nine times out of 10, the pint-sized plane dodges...

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.