Center for Statistics and Machine Learning

Featured News

Uri Hasson: opening the black box of the brain
Nov. 1, 2024
Author
Written by Allison Gasparini

Are AI models processing natural language in a way similar to the human brain, or are they processing language in entirely different ways? “That’s a concrete question that we want to answer,” said Uri Hasson, professor of psychology and neuroscience at Princeton University. “It’s really important to know.”

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

Michael Webb: navigating the design of smart materials with machine learning

Michael Webb said that his group is particularly interested in creating “smart materials”, which work by responding to external stimuli. “We take a lot of inspiration from biological phenomena and create materials that can interact with systems from biology or otherwise mimic what can be achieved in biological context,” said Webb.

Initiative to support interaction between cognitive sciences and artificial intelligence

As artificial intelligence technology rapidly advances, a group of Princeton researchers is asking what human minds can teach us about developing smarter AI and what AI can in turn teach us about how human minds work.

Call for AI Seed Grant Proposals
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…

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).