Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips
ID: AF242-D015Type: BOTH
Overview

Topic

Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2024
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 the topic "Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips" as part of their SBIR 24.2 Annual solicitation. The Air Force branch is specifically interested in this topic. The objective is to develop an efficient workflow and approach for mapping complex RF and radar signal processing algorithms onto neuromorphic hardware. This hardware can be a limited research prototype or a commercial product. The goal is to translate algorithms specified in the Matlab or Python software environment into a neuromorphic model implemented in physical hardware. The Phase I of the project is a Direct-to-Phase-II (D2P2) topic, meaning no Phase I awards will be made. The Phase II will involve measuring the response of the neuromorphic hardware to RF and radar signals in real time and validating its performance in terms of power consumption and timing latency. The awardee(s) will also identify potential commercial and dual-use applications for the neuromorphic hardware in the Internet of Things (IoT) field. The project duration and funding specifics can be found on the solicitation agency's website.

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