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The Center for Statistics and Machine Learning is located at 26 Prospect Avenue.
Featured News
The research, by Karthik Narasimhan, assistant professor of computer science, and doctoral students Vishvak Murahari, Carlos E. Jimenez and Runzhe Yang, makes it possible to run a deep neural network at least 10 times more efficiently while sacrificing only 2 percent accuracy. This new approach, called DataMUX, was recently awarded second place in the 2022 Bell Labs Prize with a $50,000 award.
Featured Event
What will philology become in the wake of the digital revolution? How can computer vision, handwritten text recognition, natural language processing, deep neural networks and/or other forms of machine learning refine the arsenal of techniques for studying premodern evidence?
This works-in-progress symposium will feature six teams of Princeton scholars who are applying machine learning to manuscripts, rare books, archives, inscriptions, coins and other pre-1600 texts. Presentations will include projects on materials in Syriac, Hebrew, Latin, Greek, Chinese and English.
Open Positions
The Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships. The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning.
Latest News
The research, by Karthik Narasimhan, assistant professor of computer science, and doctoral students Vishvak Murahari, Carlos E. Jimenez and Runzhe Yang, makes it possible to run a deep neural network at least 10 times more efficiently while sacrificing only 2 percent accuracy. This new approach, called DataMUX, was recently awarded second place in the 2022 Bell Labs Prize with a $50,000 award.
This spring 2023 course aims to foster the ability to plan and perform rigorous data analyses. Students are expected to learn the conceptual underpinnings behind advanced modern methods and to use this knowledge to program appropriate analyses.
Danqi Chen was honored for her work on natural language processing and machine learning. Chen, an assistant professor of computer science, traveled to South Korea to receive the award and deliver a talk at the 2022 Samsung AI Forum.
Schmidt Futures has awarded Adji Bousso Dieng an AI2050 Early Career Fellowship for her work at the intersection of artificial intelligence and the natural sciences. The fellowship recognizes scholars doing interdisciplinary research on AI across fields in engineering, the social sciences and the humanities.
Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website.
Upcoming Events
What will philology become in the wake of the digital revolution? How can computer vision, handwritten text recognition, natural language processing, deep neural networks and/or other forms of machine learning refine the arsenal of techniques for studying premodern evidence?
This works-in-progress symposium will feature six teams of Princeton scholars who are applying machine learning to manuscripts, rare books, archives, inscriptions, coins and other pre-1600 texts. Presentations will include projects on materials in Syriac, Hebrew, Latin, Greek, Chinese and English.
In this talk I will first describe our work on developing new tools for screening and intervention in developmental disorders, autism spectrum disorder and eating disorders in particular. I will show how equipped with computer vision and machine learning, we deployed scalable, phone/tablet-based tools in pediatric clinics and homes in the US and Africa.
Princeton Research Day celebrates the research and creative endeavors of the campus-wide community. The event serves as an opportunity for researchers and creators to reach across disciplines by communicating in non-specialist language about their research or creative work.
Now in its eighth consecutive year, the event highlights work…