
News
January 27, 2021
Princeton Engineers series highlights Caroline Trippel *19
Caroline Trippel, a 2019 Ph.D. graduate in Computer Science was profiled as part of the Princeton Engineers series from the School of Engineering and Applied Science.
January 26, 2021
Engineering and artificial intelligence combine to safeguard patients’ lives
Ventilators and their support equipment are lifesaving technologies, but they are also expensive and complex devices that require expert attention from doctors and other highly trained medical workers. The devices must be carefully calibrated and monitored to ensure they are meeting a range of parameters — pressure, volume, breath rate — tuned to each individual patient. Often, these measures change during treatment, requiring further tuning.
January 22, 2021
How to Recognize AI Snake Oil
Associate Professor Arvind Narayanan believes that “For the process of science to work, we, as the public, must understand not just science but also pseudo-science." For the Princeton Plasma Physics Laboratory's Jan. 16 "Science On Saturday" program, Narayanan reprised a presentation he made in November 2019 at MIT. His topic: the capabilities of artificial intelligence, why we shouldn't believe everything companies say about their "AI"-based products, and how we can recognize flawed AI claims.
January 14, 2021
Princeton partners on $30M grant to advance internet infrastructure
Princeton University researchers are partners on a major initiative to help shape the next generation of computer networks. The effort, known as Project Pronto, aims to build and test new types of flexible, programmable networks to advance network security, performance and innovation.
January 13, 2021
Olga Troyanskaya named 2020 ACM Fellow
Olga Troyanskaya, Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics has been named 2020 ACM Fellow. She is recognized for her contributions to computational biology and data integration.
January 11, 2021
Dora Zhao: auditing artificial intelligence for bias
In her undergraduate research, 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.
December 23, 2020
Say again? AI provides the latest word in clearer audio
If you’ve been listening to more podcasts while stuck at home this year, you may have noticed a side effect of the uptick in virtual conversations: a decline in audio quality. Interviews conducted by phone or video chat often include background noise, reverberation and distortion.
December 22, 2020
Bell Lab Prize honors Princeton team for method to meld privacy and deep learning
A team of Princeton University researchers was a top finisher in the international 2020 Bell Labs Prize competition, honored for developing a method that may allow computers to learn from data without compromising the privacy of people who furnished the data.
December 8, 2020
Princeton students awarded Schwarzman Scholarships for study in Beijing
Princeton seniors Ilene E, Arjun Sai Krishnan, Austin Mejia and Karthik Ramesh have been named Schwarzman Scholars. The Schwarzman Scholarship covers the cost of graduate study and living toward a one-year master’s program at Tsinghua University in Beijing.
December 3, 2020
Award for Excellence honors graduate student achievement
The School of Engineering and Applied Science has given its annual Award for Excellence to 16 advanced graduate students who have performed at the highest level as scholars and researchers.
November 30, 2020
Computing empowers immune cells to kill cancer
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. Now a collaboration of computer scientists and bioengineers has produced a way to select targets with the same kind of logic that drives computers, promising treatments that are both safer and more broadly effective.
November 24, 2020
DataX – advancing the frontiers of computer vision and natural language processing
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.
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