Upcoming Events

Pre-trained Models in Databases

Joint Systems and Database Seminar
Speaker Name
Yao Lu
Location
LSRC D344
Date and Time
-

Pre-trained foundation models such as BERT, GPT-3 and ResNet have shown tremendous success in vision and language applications. Due to the massive structured data already in databases, recent research efforts start to investigate pre-trained models for data analytics, management and performance optimization in databases. This talk starts from applications and challenges of pre-trained models in databases, followed by our recent work to build pre-trained models that can be used to summarize structured datasets and map summaries to metrics-of-interest.

Voices from the Classroom: Student Perspectives on Identity and Computing

Identity & Computing Lecture Series
Speaker Name
AiiCE Student Advisory Board Members
Location
Virtual, registration is required
Date and Time
-

Undergraduate and graduate student members of the Alliance for Identity-Inclusive Computing Education (AiiCE) student advisory board join us for this panel, where they share their perspectives on the state of identity in computing departments, including strengths, challenges, and strategies to create more equitable and inclusive environments for students from diverse identities.

This event will be held live via Zoom and is open to all members of the Duke community (faculty, staff, and students).

Athena Seminar: Do Simpler Machine Learning Models Exist and How Can We Find Them?

Special Talk
Speaker Name
Cynthia Rudin
Location
Wilkinson 017 and Zoom - registration required
Date and Time
-

While the trend in machine learning has tended towards building more complicated (black box) models, such models are not as useful for high stakes decisions - black box models have led to mistakes in bail and parole decisions in criminal justice, flawed models in healthcare, and inexplicable loan decisions in finance. Simpler, interpretable models would be better. Thus, we consider questions that diametrically oppose the trend in the field: for which types of datasets would we expect to get simpler models at the same level of accuracy as black box models?

Computer Science Department Holiday Party

Special Event
Location
Karsh Alumni and Visitor Center
Date and Time
-

Duke CS Holiday Party 2022Please join us for the Computer Science Department's holiday party and annual meeting. This will be the first holiday celebration held since 2019! We hope you will join us, meet new people in the Department, and reacquaint yourselves with friends and colleagues.