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Special Notice - 2nd Annual DoD Artificial Intelligence (AI) Industry Day

General Information

Document Type:MOD
Posted Date:Oct 22, 2018
Category: Research and Development
Set Aside:N/A

Contracting Office Address

2800 Powder Mill Road Building 601 Adelphi MD 20783-1197

Description

Special Notice - Industry Day Announcement The Army Research Laboratory (ARL), together with the Algorithmic Warfare Cross-Functional Team (AWCFT or "Project Maven") and the Joint Artificial Intelligence Center (JAIC), are hosting the 2nd Annual DoD AI Industry Day on November 28, 2018 to discuss AI software prototyping activities and future industry participation. All technical businesses engaged in AI/ML are invited to submit information on their capabilities (see website listed below for more information). The ARL Broad Agency Announcement (BAA) for Basic and Applied Scientific Research added the "Artificial Intelligence and Machine Learning" (AI/ML) topic in 2017 under the Information Sciences Campaign. The Artificial Intelligence and Machine Learning topic can be found by searching announcement "W911NF-17-S-0003" at Grants.gov or FBO.gov. 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 NOTE: THIS NOTICE MAY HAVE POSTED ON FEDBIZOPPS ON THE DATE INDICATED IN THE NOTICE ITSELF (22-OCT-2018). IT ACTUALLY APPEARED OR REAPPEARED ON THE FEDBIZOPPS SYSTEM ON 10-JAN-2019, BUT REAPPEARED IN THE FTP FEED FOR THIS POSTING DATE. PLEASE CONTACT 877-472-3779 or fbo.support@gsa.gov REGARDING THIS ISSUE.

Original Point of Contact

POC Cristina Watkins

Place of Performance

Link: Link To Document
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