
News
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.
November 20, 2020
Goodridge’s Legacy Helps Liberate Faculty, Enable Students
When he graduated with a master’s degree in 2019, Lance Goodridge ’17 *19 left behind a contribution that has gained both importance and relevance as student interest in computer science has continued to burgeon at Princeton and virtual teaching has replaced (at least for now) the traditional classroom.
October 19, 2020
Accenture Prize in Computer Science
Charles Zhao BSE'21 and Dora Zhao AB'21 are the winners of the 2020 Accenture Prize, given by Princeton University to recognize academic excellence in Computer Science through the end of Junior year.
October 7, 2020
Board approves 4 Computer Science faculty appointments
The Princeton University Board of Trustees has approved the appointment of four Computer Science assistant professors.
October 2, 2020
Tool helps clear biases from computer vision
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.
September 23, 2020
Five Computer Science graduate students honored with 2021 Siebel Scholar awards
The Siebel Scholars Foundation announced the recipients of the 2021 Siebel Scholars award. Now in its 20th year, the Siebel Scholars program annually recognizes nearly 100 exceptional students from the world’s leading graduate schools of business, computer science, energy science and bioengineering. The awardees include five Princeton University graduate students in computer science, Sotiris Apostolakis, Kyle Genova, Wei Hu, John Li, and Divyarthi Mohan.
September 18, 2020
Algorithms uncover cancers’ hidden genetic losses and gains
Understanding the specific mutations that contribute to different forms of cancer is critical to improving diagnosis and treatment. But limitations in DNA sequencing technology make it difficult to detect some major mutations often linked to cancer, such as the loss or duplication of parts of chromosomes.
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