Discovery: Research at Princeton
Findings, feature articles, books and awards from Princeton University researchers
By Liz Fuller-Wright A new initiative aims to enhance our fundamental understanding of AI, enable its use in academic disciplines, and examine AI’s safety, policy and ethical implications. The Princeton Language and Intelligence (PLI) initiative, Continue Reading →
Arvind Narayanan, professor of computer science and one of TIME magazine’s 100 most influential people in AI, sheds light on the capabilities and pitfalls of artificial intelligence. Continue Reading →
Computers that can see the world and understand our language are taking on new challenges Continue Reading →
Lauren von Berg, Class of 2020, is first author of a peer-reviewed paper studying the role of Antarctic sea ice in regulating the growth of the tiny algae known as phytoplankton. Continue Reading →
From improving cybersecurity to modeling chemical reactions Continue Reading →
A Princeton-led team has decoded the impact of a new class of mutations in people with autism. Continue Reading →
By Kevin McElwee Artificial intelligence is already a part of everyday life. It helps us answer questions like “Is this email spam?” It identifies friends in online photographs, selects news stories based on our politics Continue Reading →
By Liz Fuller-Wright With the help of a quarter-million video game players, Princeton researchers created and shared detailed maps of more than 1,000 neurons — and they’re just getting started. By playing Eyewire, an online Continue Reading →
Author: Ken Steiglitz, the Eugene Higgins Professor of Computer Science, Emeritus, and senior scholar Publisher: Princeton University Press, forthcoming February 2019 A few short decades ago, we were informed by the smooth signals of analog Continue Reading →
By John Sullivan Two engineering faculty members, Paul Prucnal and Jennifer Rexford, have been named as fellows of the National Academy of Inventors, an honor that recognizes contributions that have an impact on quality of Continue Reading →
Author: Brian Kernighan, professor of computer science Publisher: Princeton University Press, January 2017 Computers are everywhere. Some of them are highly visible, in laptops, tablets, cellphones and smart watches. But most are invisible, like those Continue Reading →
THE ARTIFICIAL-INTELLIGENCE (AI) SYSTEMS that suggest our search terms and otherwise determine what we see online rely on data that can be biased against women and racial and religious groups, according to a study led Continue Reading →
JIANXIONG XIAO TYPES “CHAIR” INTO GOOGLE’S search engine and watches as hundreds of images populate his screen. He isn’t shopping — he is using the images to teach his computer what a chair looks like. Continue Reading →
FROM TRANSLATING FOREIGN LANGUAGES to finding information in minutes, computers have extended our productivity and capability. But can they make us better artists? Researchers in the Department of Computer Science are working on ways to Continue Reading →
A NEW SOFTWARE PROGRAM MAKES IT EASY for novices to create computer-based 3-D models using simple instructions such as “make it look scarier.” The software could be useful for building models for 3-D printing and Continue Reading →
AT 60 HUDSON ST. IN LOWER MANHATTAN, a fortress-like building houses one of the Internet’s busiest exchange points. Packets of data zip into the building, are routed to their next destination, and zip out again, Continue Reading →
IN APRIL 2014, INTERNET USERS WERE SHOCKED to learn of the Heartbleed bug, a vulnerability in the open-source software used to encrypt Internet content and passwords. The bug existed for two years before it was Continue Reading →
Princeton’s Department of Computer Science has strong groups in theory, networks/systems, graphics/vision, programming languages, security/policy, machine learning, and computational biology. Find out what the researchers have been up to lately in these stories: Armchair victory: Computers Continue Reading →
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