Drone Swarm Detection Using Artificial Intelligence Based on Ultrafast Neural Networks
ID: A24B-T020Type: Phase I
Overview

Topic

Drone Swarm Detection Using Artificial Intelligence Based on Ultrafast Neural Networks

Agency

Department of DefenseN/A

Program

Type: STTRPhase: Phase IYear: 2024

Topic Link

https://www.sbir.gov/node/2605971

Additional Information

https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/
Timeline
  1. 1
    Release Apr 17, 2024 12:00 AM
  2. 2
    Open May 15, 2024 12:00 AM
  3. 3
    Next Submission Due Jun 12, 2024 12:00 AM
  4. 4
    Close Jun 12, 2024 12:00 AM
Description

The Department of Defense (DOD) is seeking proposals for a Small Business Technology Transfer (STTR) project focused on drone swarm detection using artificial intelligence (AI) based on ultrafast neural networks. The goal is to develop a neural network architecture and learning processing algorithms for drone identification based on ultra-fast neural networks with low power consumption. The project aims to identify airborne drones from their radio frequency transmissions or radar signatures using AI and neuromorphic computing. The project will be conducted in two phases. In Phase I, computer simulations will be used to demonstrate the possibility of using ultra-fast neural networks for processing multiple microwave drone signals. In Phase II, the project will determine optimum materials for the development of ultra-fast neural networks, develop principles for building large neural networks, and test learning algorithms for drone identification. The project will also explore dual-use applications, including lightweight antennas for drones, real-time monitoring systems, and autonomous driving platforms. The deadline for proposal submission is June 12, 2024. For more information, visit the solicitation agency's website at [link].

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