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Northwestern University

About AI@NU

AI@NU is a community of researchers, educators, and students across Northwestern advancing artificial intelligence in theory and practice.

 

Through interdisciplinary collaborations and innovative AI endeavors within many fields, we advance ethical, visionary research and pedagogy that empowers individuals, organizations, and society.

 

We stimulate conversation, foster connections, and cultivate opportunities to develop and evolve Northwestern as a local, national, and international hub for AI expertise.


Facts & Figures

Setting ourselves apart

200+faculty actively engaged in AI work

meet our people

8Northwestern schools are engaged in AI work

Feinberg, Kellogg, McCormick, Weinberg, Pritzker, Medill, SESP, and Communication

11educational programs

undergraduate and graduate study as well as professional and executive education

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What we do

Explore Northwestern AI

Research & Applications

Research & Applications

Work related to artificial intelligence (AI) at Northwestern includes research in core areas, but reaches far beyond. We take a 360 degree view by applying AI to diverse and interdisciplinary fields, developing new applications using AI, studying the impact that AI has on society, and educating the next generation in the creation and use of AI.

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Collaboration

Collaboration

View current collaborations at Northwestern — including many through our centers and institutes — and learn how you can partner with us.

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Education

Education

Explore how we educate the next generation in the theory, practice, and impact of AI through undergraduate and graduate programs along with programs for professionals and executives.

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News & Events

News

Questions to ask about government use of deepfakes

Two Northwestern University professors coauthored a new report examining several hypothetical scenarios in which democratic governments might consider using deepfakes to advance their foreign policy objectives and the potential harms this use might pose to democracy.

Transfer learning paves the way for new disease treatments

In a new study, Northwestern University researchers have developed an AI-powered transfer learning approach that repurposes publicly available data to predict combinations of gene perturbations that can transform cell type or restore diseased cells to health.

Events

Seed Time: SILENT RUNNING (1972) on 35mm

March 29
7:00 PM - 9:00 PM

HEP Seminar: Daniel Li: "Search for Standard Model Triple-Top Qua...

April 1
4:00 PM - 5:00 PM

CoDEx - A Symposium for Computation and Data Intensive Research

April 2
8:00 AM - 5:00 PM

Nelson and Nemhauser Best Paper Award Seminar

April 2
11:00 AM - 12:00 PM

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