Theory Seminar

CICS graduate Colette Basiliere will give a presentation introducing Public Interest Technology and the challenges and opportunities facing this new field.

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.

This talk will be self-contained and introduce the bits of game theory, online learning, and economics needed for understanding it.

Join us to learn about the regulatory space for AgeTech devices and software, and to hear best practices for preparing a regulatory submission.

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.

Han Shao will be visiting UMass from Harvard to give a talk on Learning from Strategic Data Sources at the theory seminar.

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.