Research
Cybersecurity Institute Receives $4.4 Million NSF Grant to Play Leadership Role in Educating Future Cybersecurity Workforce
The Cybersecurity Institute has received a $4.4M NSF grant to educate cybersecurity researchers and place them in federal jobs.
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Brun Receives Amazon Research Award for Automated Formal Verification
Professor Yuriy Brun is one of 26 recipients of a 2021 Amazon Research Award (ARA), which will fund his research on software formal verification.
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Lee Selected as UMass ADVANCE Fellow
Sunghoon Ivan Lee has been selected as one of 46 UMass Amherst ADVANCE program faculty fellows for 2021–2022.
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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.
Seminar: Daniel Kröning, AI Accelerators 101–And Why You Should Build AI Accelerators with Us
Kröning will present a case for custom hardware for training the largest LLMs, and why compilers and deep program analysis are the key enabling technology...
PhD Thesis Defense: Arjun Karuvally, Beyond the Hopfield Memory Theory: Dynamic Energy Landscapes and Traveling Waves in RNNs
PhD Thesis Defense: Arjun Karuvally
Data Science Deep Dive: "Getting Started with Data Products: The People, Processes, & Tools"
In this webinar, we will break down the key steps to establish a strong foundation for data products.