Discovering Common Sense from Video, Images, Text and Knowledge Bases
Abstract
The scope of this effort is to automatically learn a common sense repository (CSR) of knowledge that can be applied to diverse problems. USC will do this by embedding spaces based on deep neural nets (DNNs). Embedding spaces have recently proven effective on tasks that leverage common sense. The immediate impact will be more effective artificial intelligence (AI) applications, since common sense applications learn via their embedding space, they will be domain-independent but orientable for a particular purpose. The research will both reduce the need for domain-specific training and increase accuracy of AI applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 13, 2022
- Source ID
- N660011924032
Entities
People
- Ralph Weischedel
Organizations
- Defense Advanced Research Projects Agency
- Naval Information Warfare Center Pacific
- University of Southern California