SILVER SPRING, Md. – U.S. military researchers are inviting industry to present their capabilities in artificial intelligence (AI) and machine learning at the 3rd Annual DOD AI Industry Day from on 13 Nov. in Silver Spring, Md.
Officials of the Army Research Laboratory in Adelphi, Md., and the U.S. Department of Defense (DOD) Joint Artificial Intelligence Center (JAIC) in the Pentagon are hosting the event to discuss AI software prototyping activities and future industry participation.
The DOD AI Industry Day will be from 6:15 a.m. to 6 p.m. on 13 Nov. 2019 at the Tommy Douglas Conference, Center, 10000 New Hampshire Ave., in Silver Spring, Md. outside of Washington, D.C.
All technical businesses engaged in artificial intelligence and machine learning are invited to submit information on their capabilities.
The DOD Project Maven and the Joint Artificial Intelligence Center have developed algorithms that have processed tremendous volumes of military data to generate a new repository of algorithmic output and metadata, officials explain.
In addition to pursuing new ideas in using artificial intelligence and machine learning for processing raw DOD data, Project Maven and the Joint Artificial Intelligence Center also are seeking AI approaches on how to analyze newly generated AI output and library of AI algorithms.
The AI Industry Day will focus on training data; data and inference platforms; algorithms; user interfaces and user experiences; integrating artificial intelligence and machine learning at the leading edge of the battlefield; and testing.
Training data involves standardizing, cleansing, preparing, and managing data for AI algorithm training, including new labeling techniques and tools for analytics and metrics of training data.
Data and inference platforms involves new ways to aggregate joint all-domain data sources across all warfighting functions in scalable development and production cloud platforms.
Algorithms involves frameworks and tools for creating artificial intelligence and machine learning algorithms, and the algorithms themselves, for AI prototyping against raw data as well as against AI-generated metadata.
User interfaces and user experiences involve interfaces to combine traditional intelligence data and AI; running AI in inference against raw intelligence data; and providing display, search, and analysis capabilities across all combined data at scale.
Integration at the edge involves new or improved ways to bring artificial intelligence and machine learning to constrained, RF-denied, computational environments on the battlefield -- including multi-sensor fusion and platform automation.
Testing involves how to determine the effectiveness of artificial intelligence and machine learning approaches, including comparisons between approaches.
Data types involved in the November briefings can involve full-motion video; imagery from unmanned aerial vehicles; moving target indicator radar; wide-area motion imagery (WAMI); multispectral and hyperspectral imagery; synthetic aperture radar; electronic warfare (EW); documents; and social media data.
AI and machine learning functions can involve object detection, tracking, and classification; visual searchers; natural-language processing; language translation; optical character recognition; entity extraction and linking; anomaly detection; time series forecasting; and facial recognition.
Military applications of AI and machine learning can involve intelligence, surveillance, and reconnaissance; geospatial intelligence; signals intelligence; humanitarian assistance and disaster relief; command and control; maneuver and fires; logistics; robotic process automation; and platform and sensor automation.
The industry day will consist of presentations in the morning, and panel sessions and networking in the afternoon. Companies interested in attending should register online at https://www.cvent.com/events/3rd-annual-dod-ai-industry-day/registration-a7384e576b7140689fa476ad9c460516.aspx?fqp=true.
More information is online at https://www.fbo.gov/notices/b49211c18d236dbff7823f6a75688da3.