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Dec 5, 2022

VisibleV8 on Browser Fingerprinting Detection

Alexandros Kapravelos, Junhua Su Visiting websites with a browser is part of our daily routine today. However, this simple action involves countless components hidden under a beautiful user interface. Taking…

Dec 5, 2022

Hybrid Teams and Purposeful Levels of Automation

Drs. Judy and Rob Johnston, Johnston Analytics Introduction.  With the evolution of machine learning and artificial intelligence, as well as the increasing recognition of the assistance they can provide to…

Dec 5, 2022

Voice Characterization Analytics for Triage

Tina Kohler, Michelle Winemiller, Patti Kenney, Jacque Jorns, Pauline Mevs, Sean Lynch, University of Texas at Dallas What we’re trying to do In a world containing big piles of voice…

Dec 5, 2022

Team Strength: A Data and Communication-Driven Action Plan for Team Leads

NC State Contributors: Mark Wilson, Stephen Paul, Christine Brugh LAS Contributors: Michele Kolb, Paul Narula What is Team Strength? Team Strength is a suite of tools designed to help operational…

Dec 5, 2022

Sound Event Detection 

Triaging Non-Speech Sounds in Audio Content Tina Kohler, Patti Kenney, Sean Lynch, Jacque Jorns The Pitch Over the past year the LAS Sound Event Detection (SED) team explored whether we…

Dec 5, 2022

Design Approaches to Research一Tools and Techniques (DARTT): Applications to LAS/IC Projects

Sharon Joines, Hongyang Liu, Matt Schmidt, Lori Wachter Background One of LAS’s goals is to expose LAS members to varied approaches for problem identification, exploration and synthesis, and solution and…

Dec 5, 2022

Why build a model deployment service (MDS)?

Troy West, Jascha Swisher, Mike Green, Brent Younce, Aaron Wiechmann, Ryan Bock Our original intentions and discussions on a model deployment service focused heavily on how we could simplify and…

Dec 5, 2022

What is really going on here? Abductive reasoning in intelligence analysis

Bolstering human machine teaming with support for narrative abduction Tim van Gelder, Director, Hunt Lab, University of Melbourne Note: This post represents one perspective on the project. Some project team…

Dec 5, 2022

Infinitypool: Model-Assisted Labeling

Joe Anderson, Daniel Cornell, Alon Greyber, Simon Griggs, Kaylie Naylo, Stephen Williamson, Sean Lynch, Skip Smith, Aaron Wiechmann Confidence in one’s data is essential for machine learning projects. It is…

Group of 5 people

Jul 29, 2022

Senator Richard Burr (R-NC) Shares Thoughts on Intelligence Challenges with LAS and SCADS Participants

The Laboratory for Analytic Sciences (LAS) welcomed Senator Richard Burr (R-NC) on Friday, July 22, where he addressed approximately 60 LAS employees and participants in the LAS Summer Conference on…