Research
MassAI Project Showcase
Join us for our end-of-semester MassAI Project Showcase and explore what our members have been working on!
Seminar: Preslav Nakov, Factuality Challenges in the Era of Large Language Models
We will discuss the risks, the challenges, and the opportunities that Large Language Models (LLMs) bring regarding factuality.
IEEE Communications Society Distinguished Lecture: AI is More Than Machine Learning - Alternative Computational Methods for Future Networks
Dr. Nicola Marchetti is an IEEE Communications Society Distinguished Lecturer who will be delivering the seminar "AI is More Than Machine Learning..."
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.
MassAITC Webinar: John Ralston (Neursantys) and Hamed Tabkhi (ForesightCares), Technological Advancements in Functional Assessments and Fall Prevention
Dr. John Ralston, CEO and co-founder of Neursantys, will talk about the development of a novel wearable device, NEURVESTA.
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.
PhD Thesis Defense: Chenghao Lyu, Intelligent Cost-Performance Optimization for Big Data Analytics
PhD Thesis Defense: Chenghao Lyu, Intelligent Cost-Performance Optimization for Big Data Analytics
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.
MassAI Industry & Research Panel
Join us for a panel discussion about paths in industry and academia on Nov. 7 from 6:00–8:00 p.m.!
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.
Haitian Arts Digital Crossroads: Reframing Haitian Art Narratives Through Digital Humanities
This lecture will explore how digital technologies can be used to revitalize archives and to make Haitian art and art history publicly accessible.
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.