Staff

Dec 4, 2023

Tackling Challenges in Language Model Training with LAS and NC State

SUPERB: Improving the Efficiency of Creating and Maintaining ML Models Research from the Menzies Lab by Kewen Peng and Tim Menzies, NC State University, Department of Computer Science Large language…

Dec 1, 2023

EYEGLASS: Improving the Quality and Efficiency of Computer Vision Model Development for Out-of-Domain Datasets

Will Gleave, Sam Saltwick, Joe Hackett, Kyle Rose (Amazon Web Services) Stephen W, Lori W, Al J, Mike G, Troy W, Felicia M, James S, Brent Y Traditional computer vision…

Dec 1, 2023

Building a More Explainable Analyst-Centered Deepfake Detection Tool

Saniat J. Sohrawardi, Y. Kelly Wu, Matthew Wright (Rochester Institute of Technology) John L., Jacque J., Aaron W., Candice Gerstner Imagine an international summit happening in the near future. World…

Dec 1, 2023

Findings from the Data Augmentation for Event Extraction (DAFEE) Project

Parenthetic LLC Project Overview Identifying events and the key entities, locations and features that characterize those events can be a useful tool in intelligence analysis, as it supports an intelligence…

Dec 1, 2023

Voice Characterization Analytics for Triage

2023 was a wild year for the Voice Triage Team.  We set out on an exploration to observe the performance of two algorithms on ‘data-in-the-wild’ and explored the tangled jungle…

Dec 1, 2023

GUESS 2023: Enabling a Conversation with Data

Mike G., Patti K., Susie B., Sue Mi K., Skip S. GUESS explores how artificial intelligence and machine learning can help an analyst identify relevant information in poor speech to…

Dec 1, 2023

Structured Annotation of Audio Data

Rob Capra, Jaime Arguello, Bogeum Choi, Mengtian Guo School of Information and Library Science, University of North Carolina at Chapel Hill Overview Analysis of audio data is an important activity in…

Dec 1, 2023

The Analysts’ Hierarchy of Needs: Grounded Design Principles for Tailored Intelligence Analysis Tools

Antonio Girona (Pennsylvania State University), Grace B. (DoD), James Peters (NC State), Wenyuan Wang (UNC-Chapel Hill), R. Jordan Crouser (Smith College) Introduction In the high-stakes arena of national security, intelligence…

Dec 1, 2023

A Practical Guide to Running Image Segmentation Experiments on Mechanical Turk

Benjamin Bauchwitz, Duke University Part 1: Introduction Image segmentation is a set of powerful computer vision processes in which images are divided into semantically meaningful regions. Different types of image…

Dec 1, 2023

Rare and Uncommon Object Detection

Felecia ML., James S., Donita R. Background What happens when open-source computer vision models such as You Only Look Once (YOLO) try to detect objects such as customized weapons or…