On uncertainty and robustness in large-scale intelligent data fusion systems

Benjamin M. Marlin, Tarek Abdelzaher, Gabriela Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani Srivastava, Theron Trout, Meet P. Vadera, Maggie Wigness

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The resurgence of AI in the recent decade dramatically changes the design of modern sensor data fusion systems, leading to new challenges, opportunities, and research directions. One of these challenges is the management of uncertainty. This paper develops a framework to reason about sources of uncertainty, develops representations of uncertainty, and investigates uncertainty mitigation strategies in modern intelligent data processing systems. Insights are developed into workflow composition that maximizes efficacy at accomplishing mission goals despite the sources of uncertainty, while leveraging a collaboration of humans, algorithms, and machine learning components.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-91
Number of pages10
ISBN (Electronic)9781728141442
DOIs
StatePublished - Oct 2020
Event2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020 - Virtual, Atlanta, United States
Duration: Dec 1 2020Dec 3 2020

Publication series

NameProceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020

Conference

Conference2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020
CountryUnited States
CityVirtual, Atlanta
Period12/1/2012/3/20

Keywords

  • Cyber-physical Systems
  • Machine Intelligence
  • Uncertainty Analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Cognitive Neuroscience

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