Probabilistic Programming for Advancing Machine Learning (PPAML)

Abstract

The Probabilistic Programming for Advancing Machine Learning (PPAML) program created an advanced computer programming capability that greatly facilitates the construction of new machine learning applications in a wide range of domains. This capability increases the number of people who can effectively contribute, makes experts more productive, and enables the creation of new tactical applications that are inconceivable given today's tools. The key enabling technology is a radically new programming paradigm called probabilistic programming that enables developers to quickly build generative models of phenomena and queries of interest which a compiler then converts into efficient applications. PPAML technologies were designed for application to a wide range of military domains including Intelligence, Surveillance and Reconnaissance (ISR) exploitation, robotic and autonomous system navigation and control, and medical diagnostics.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2019
Source ID
3fea48732119cb766178b3db9c1a8000

Tags

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - UAVs

Related Documents