Under Secretary of Defense for Intelligence / Algorithmic Warfare Cross-Functional Team Office of the Secretary of Defense / Strategic Capabilities Office Department of Defense Chief Information Officer / Joint Artificial Intelligence Center Defense Innovation Unit Experimental (DIUx) U.S. Army Research Laboratory

DoD AI Industry Day
28 November 2018 • Silver Spring, MD

About the Industry Day

The U.S. Army Research Laboratory, together with the Algorithmic Warfare Cross-Functional Team (AWCFT) and the Joint Artificial Intelligence Center (JAIC), are hosting the 2nd Annual DoD AI Industry Day to discuss AI software prototyping activities and future industry participation. All technical businesses engaged in AI/ML are invited to submit their capabilities briefing to our technical panel for consideration. This all-day event will allow businesses to engage their counterparts, create synergy and ask questions of the AI team.

In support of AI prototyping, the DoD is holding an AI Industry Day focusing on the following five areas:

  1. Training Data: Standardizing, cleansing, preparing, and managing data for AI algorithm training, including new labeling techniques and tools for analytics and metrics of training data
  2. Algorithms: Frameworks and tools for creating AI/ML algorithms and the algorithms themselves as well as the UIs for the display, search, and interaction with algorithmically derived metadata and tabular structured algorithmic output
  3. Integration: New or improved processes and methods for integrating AI/ML within warfighting systems, applications, and analysis systems at the edge, or other computation to bring AI/ML to constrained computational environments
  4. Infrastructure: Storage and indexing capabilities agnostic to data format/type, tools for continuous delivery/deployment of software, and infrastructure monitoring
  5. Testing: New methods to test, evaluate, and determine the effectiveness of AI/ML approaches

1. Training Data: data ingest, data analysis, data transformation, data validation; 2. Algorithms: UI/UX, training & tuning; 3. Integration: serving, logging; 4. Infrastructure: frontend for data/model/evaluation visualization, job management, monitoring, debugging, configuration, job orchestration, pipeline storage, 5. Testing: model evaluation/validation

The DoD is interested in receiving market research on these 5 focus areas for any data types, techniques, and use cases, with particular interest on the data types, techniques, and uses cases provided below:

Data Types

  • Full motion video (FMV)
    • Tactical UAV
    • Medium altitude
  • Wide area imagery
  • Still imagery
    • EO/IR/SAR
  • Spectrum/EW
  • Documents (emails, reports, etc.)
  • Transactional logs (e.g., large, structured data sets)
  • Maintenance data (sensors, logs, paper records, etc.)


  • Object detection and classification
  • Visual search
  • Natural language processing
  • Language translation
  • Optical character recognition
  • Entity extraction and linking
  • Anomaly detection
  • Time series forecasting

Use Cases

  • Predictive maintenance
  • Humanitarian assistance and disaster relief
  • ISR
  • Force protection
  • Robotic process automation
  • Cyber

Register now

For those unable to attend but would still like to submit their capabilities briefing, please do so via email at AI@arl.army.mil no later than 19 November 2018. Please ensure that your briefing matches the format and includes the required information outlined in our briefing format page. Please note, files larger than 10BM Exchange (SAFE) site is currently disabled with no reinstatement date. As a result, all submissions shall be sent to AI@arl.army.mil. Consequently, the optional 4 minute demonstration video (mp4) and powerpoint/pdf submissions greater than 10MB cannot be accepted at this time. Please ensure powerpoint/pdf submissions are under 10MB.