Integration of Machine Learning (ML) Platforms with a Mobile Device Manager (MDM) for the TAK Ecosystem
ID: AF233-D024Type: BOTH
Overview

Topic

Integration of Machine Learning (ML) Platforms with a Mobile Device Manager (MDM) for the TAK Ecosystem

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2023

Topic Link

https://www.sbir.gov/node/2448013

Additional Information

https://www.defensesbirsttr.mil/
Timeline
  1. 1
    Release Aug 23, 2023 12:00 AM
  2. 2
    Open Sep 20, 2023 12:00 AM
  3. 3
    Next Submission Due Oct 18, 2023 12:00 AM
  4. 4
    Close Oct 18, 2023 12:00 AM
Description

The Department of Defense (DoD) is seeking proposals for the integration of machine learning (ML) platforms with a Mobile Device Manager (MDM) for the Tactical Assault Kit (TAK) ecosystem. The objective is to develop a secure and reliable environment for defining, comparing, evaluating, training, deploying, and updating ML models for use in mobile machine learning (MML) applications. The technology should support both cloud-based and disconnected environments and enable the review and version control of models and apps/plugins. The project will be conducted in three phases, starting with a feasibility study in Phase I, followed by integration in Phase II, and potential Phase III development for operational use. The technology will have applications in both commercial/civilian and government/military working environments. The project duration and funding specifics are not provided in the document.

Files
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