Theory Seminar

The dissertation focuses on employing a neural generative approach for data generation in weak supervision settings, incorporating effective techniques.

Wang will present his research on building language models that go beyond pretraining while improving their generalization through a data-centric perspective.

This webinar will explore the importance of cognitive assessments in Alzheimer's Disease and Alzheimer's Disease Related Dementia (AD/ADRD) research.

Adapted lecture from the course “Program Design with Data Structures and Algorithms" at Brown University.

This thesis addresses these limitations by developing a comprehensive framework for the automated assessment of open-ended mathematical responses. 

The dissertation focuses on employing a neural generative approach for data generation in weak supervision settings, incorporating effective techniques.

In this talk, we'll walk through a simple proof of Férmat's Little Theorem that exposes one of the basic connections between number theory and algebra.

In this MassAITC webinar, Justin Chan will present his work on intelligent mobile systems designed for older adults.