Efficient, Robust and Explainable Situational Assessment and Awareness AI-ML System Using Multi-Modal Sensing and Deep Learning Approaches
Abstract
In this project, we will make systematic efforts to achieve situational assessment and awareness (SAAW), which is of central importance to military operations in today s warfare and humanitarian assistance and disaster response (HADR) applications. We will emphasize on three aspects in our work on the fundamental researches in Artificial Intelligence and Machine Learning (AI-ML) methods- 1) data and computing efficient so that the system can perform well with small data size and readily available computers, which are the norm in most edge-AI military and HADR missions; 2) robust against noisy data, human errors, and intentional adversarial attacks when the AI-ML system is deployed; and 3) explainable- our models and systems will provide means to justify and certify the decisions with various techniques so that they are not black boxes but transparent, interpretable, justifiable and certifiable ones.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 14, 2024
- Source ID
- FA95502320002
Entities
People
- Jie Wei
Organizations
- Air Force Office of Scientific Research
- Research Foundation of The City University of New York
- United States Air Force