Accession Number:

AD1069452

Title:

Report on the Second Annual Workshop on Naval Applications of Machine Learning

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

SSC Pacific

Personal Author(s):

• Rainey, Katie
• Harguess, Josh

Report Date:

2018-10-01

Pagination or Media Count:

90

Abstract:

This technical document contains an overview of the second annual workshop on Naval Applications of Machine Learning NAML that was held February 13-15, 2018, at the Space and Naval Warfare SPAWAR Systems Center Pacific SSC Pacific, a U.S. Navy research laboratory in San Diego, California, USA. NAML workshop events included invited speakers, demonstrations, discussion sessions, and oral and poster presentations. The workshop co-chairs were Josh Harguess and Katie Rainey, both from SSC Pacific. The poster presentations were coordinated by Chris Ward also from SSC Pacific. This report discusses the motivation, goals, and impact of the workshop and highlights some of the topics covered. It also includes photographs taken at the workshop, the full agenda, and abstracts describing many of the oral and poster presentations.

Descriptors:

• artificial neural networks
• intrusion detectors
• artificial intelligence
• military research
• data analysis
• aircrafts
• detection
• machine learning
• computer vision
• department of defense
• intrusion detection
• naval warfare
• warfare
• abstracts
• algorithms
• computers
• california
• data mining
• demonstrations
• drone targeting

Subject Categories:

• Cybernetics

Distribution Statement:

[A, Approved For Public Release]