Center for Statistics and Machine Learning

Featured Event

Deep language models as a cognitive model for natural language processing in the human brain
Oct 22, 2024, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: Naturalistic experimental paradigms in cognitive neuroscience arose from a pressure to test, in real-world contexts, the validity of models we derive from highly controlled laboratory experiments. In many cases, however, such…

Location
Bendheim House 103
Speaker

Featured News

Call for AI Seed Grant Proposals
Oct. 8, 2024
Deadline to Apply: October 31, 2024, 11:59 pm
Proposal Submission Form 

The Princeton Laboratory for Artificial Intelligence (AI Lab) is pleased to announce a call for proposals for the AI Seed Grant Program. Grants will be distributed in four…

Next Event

Fall 2024 Frontiers in Data Science Symposium on Advances in Record Linkage
Thu, Oct 17, 2024

This symposium will feature state-of-the-art approaches to record linkage, bringing together social scientists, statisticians, academic researchers, and industry professionals. Presenters will showcase technical expertise in the development and use of innovative methods and software.

Topics will include: 

Census and historical…

Open Positions

Open Rank Faculty Positions in Interdisciplinary Data Science
Sept. 18, 2024

As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track faculty members across all science, engineering, social science, and humanities areas. This initiative will involve multiple faculty hires over the next several years. We are particularly interested in applicants…


 

Latest News

Mapping an entire (fly) brain: Sebastian Seung leads the research team which takes a step toward understanding diseases of the human brain

“FlyWire,” a Princeton-led team of scientists and citizen scientists, has now made a massive step toward understanding the human brain by building a neuron-by-neuron and synapse-by-synapse roadmap — scientifically speaking, a “connectome” — through the brain of an adult fruit fly (Drosophila melanogaster). 

Peter Henderson: finding structural solutions for the safe use of artificial intelligence in governance

“As of right now, it is unclear how to provide assurances that your model can’t be used for some harmful purpose, even if people can remove all your safeguards, and whether that’s even a tractable problem,” said Peter Henderson, an assistant professor at Princeton University with appointments in the Department of Computer Science, the School of Public and International Affairs and the Center for Information Technology Policy. “We get into this gap between what’s currently technically possible and what policymakers might want.”

Initiative aims to make Princeton a leader in AI accelerated engineering

As a part of a broad set of investments around artificial intelligence, Princeton University has launched AI for Accelerating Invention, an initiative to achieve faster breakthroughs across engineering disciplines, including biomedicine, robotics and nuclear fusion.

Bringing together board games and machine learning: Owen Travis finds when it's best to Go with your gut

Owen Travis, ’24, began playing Go in middle school after a friend took him to the Evanston Go Club in Illinois. In 2016, the AlphaGo computer program beat top player Lee Sedol at the strategy board game and Travis, who remembers reading about the defeat, found himself interested in the intersection of Go and machine learning.