Research
Introduction to the AI in Research Accelerator Program
Lecture-style, no technical background required: Learn about the evolution of the AI landscape and get a walk-through of the AI in Research Accelerator Program.
Undergraduate Research Volunteers Poster Session
Come view posters for the Winter Undergraduate Research Volunteers! Undergraduate mentees and their PhD mentors will be available to discuss their work.
MassAI Project Showcase
Join us for our end-of-semester MassAI Project Showcase and explore what our members have been working on!
Seminar: Katie Siek (Indiana University), Amplifying Voices: Inclusively Developing Sociotechnical Health Systems with People
Katie Siek will discuss how we have developed two inclusive methods that empower underserved people to participate in the design process.
Seminar: Cecilia Mascolo (University of Cambridge, UK), Using Wearables and Audio for Fitness and Health Monitoring
Cecilia Mascolo will describe her team's research in making use of wearable data—in particular, audio for making sense of our fitness and health.
Clone of Center for Data Science and Artificial Intelligence Workshop: Module 5, Custom LLMs and Fine-Tuning
Learn how to build, fine-tune, and deploy custom AI models using UMass Amherst’s Unity Research Computing Platform’s infrastructure.
NLP Seminar: Akari Asai (University of Washington), Beyond Scaling: Frontiers of Retrieval-Augmented Language Models
In this talk, Asai will urge the necessity of moving beyond the traditional scaling of monolithic LMs and advocate for Augmented LMs.
Systems Lunch for Students
The Systems Lunch for Students series aims to create a dedicated forum for PhD students in systems to: (1) share their research and receive constructive...
NLP Seminar: Wenting Zhao (Cornell University), Reasoning in the Wild
In this talk, Wenting Zhao will discuss how to build natural language processing (NLP) systems that solve real-world problems requiring complex reasoning.
Book Launch: Dancing with Roomba by Joseph L. Jones
Join us to celebrate the publication of Dancing with Roomba by roboticist Joseph L. Jones—an inside look at the creation of everyone’s favorite robot.
Seminar: Haiying Shen (University of Virginia), Resource Optimization for ML Inference Serving
With the growing popularity of deep learning models, minimizing the monetary costs and maximizing the goodput of inference-serving systems has become critical.
UMass AI&Sec SP'25 Seminar: Harsh Chaudhari, Propagation of Adversarial Bias to Distilled Language Models
This talk investigates the vulnerability of distilled language models to adversarial injection of biased content during training.