Acoustic Training Data Prioritization
ID: N241-030Type: BOTH
Overview

Topic

Acoustic Training Data Prioritization

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2024

Topic Link

https://www.sbir.gov/node/2479739

Additional Information

https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/
Timeline
  1. 1
    Release Nov 29, 2023 12:00 AM
  2. 2
    Open Jan 3, 2024 12:00 AM
  3. 3
    Next Submission Due Feb 21, 2024 12:00 AM
  4. 4
    Close Feb 21, 2024 12:00 AM
Description

The Department of Defense (DOD) is seeking proposals for the topic of "Acoustic Training Data Prioritization" as part of the SBIR 24.1 BAA. The Navy branch is specifically interested in developing a tool that assesses training data for artificial intelligence or machine learning (AI/ML) algorithms used in detecting and tracking submarines. The current paradigm of using large sets of data for training AI/ML algorithms is costly and may not yield optimal results. The Navy is looking for a tool that can analyze acoustic data collected by undersea warfare systems and prioritize data that is diverse, representative, and as small as possible for training AI/ML algorithms. The tool should reduce the amount of training data used while maintaining or improving performance, as measured by the Receiver Operating Characteristic (ROC) curve. The Phase I of the project involves developing a concept and demonstrating feasibility using unclassified data, while Phase II focuses on designing and delivering a prototype tool for testing and evaluation. The technology developed in this project has potential applications in various industries that rely on AI/ML training.

Files
No associated files provided.
Similar Opportunities
DOD SBIR 24.4 Annual - Artificial Intelligence/ Machine Learning (AI/ML) Focused Open Topic
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for an Artificial Intelligence/Machine Learning (AI/ML) Focused Open Topic. The purpose of this open topic is to bring potentially valuable small business innovations to the Army and expand the relevance of the Army SBIR program to firms who do not normally compete for SBIR awards. The topic accepts both Phase I and Direct to Phase II submissions. Phase I proposals are accepted for a cost up to $250,000 for a 6-month period of performance, while Direct to Phase II proposals are accepted for a cost up to $2,000,000 for a 24-month period of performance. The research areas of focus include synthetic data generation, data validation and verification, AI risk mitigation, large language models, retrieval augmented generation, and collaborative AI technologies. Phase I submissions require a 5-page technical volume, an 8-slide commercialization plan, and a statement of work outlining deliverables. Phase II submissions require a 10-page technical volume, a 5-page feasibility documentation, an 8-slide commercialization plan, and a statement of work. During Phase II, firms must produce prototype solutions that are practical and feasible to operate in edge and austere environments. Phase III focuses on the maturation of the technology to TRL 6/7 and the production of prototypes to support further development and commercialization. The Army will evaluate each product in a realistic field environment and provide solutions to stakeholders for further evaluation. The submission deadline is March 31, 2025. For more information, visit the [solicitation link](https://www.sbir.gov/node/2651299).
DOD SBIR 24.4 Annual - A/I Enabled ARP, Select, and Monitor
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic "A/I Enabled ARP, Select, and Monitor" as part of its SBIR program. The objective of this solicitation is to develop and deliver an Artificial Intelligence (AI)-enabled system to modernize and automate the Army's acquisition process, starting with the development of an Acquisition Requirements Package (ARP). The proposed system aims to alleviate current problems in the Army acquisition community, such as inconsistent results, lengthy and inefficient ARP development, and limited tools available to the workforce. The technology will use AI/ML to assist program managers in building ARP, conducting source selection activities, and monitoring contracts post-award. The Phase I of this project is only accepting Direct to Phase II (DP2) proposals with a cost of up to $2,000,000 for a 24-month period of performance. The Phase II effort is expected to deliver a basic AI capability to guide ARP development, with potential for expansion to other types of acquisitions. The Phase III dual-use applications include the use of Contract Management Software (CMS) technologies in various sectors such as healthcare, manufacturing, retail, IT and telecom, transportation and logistics, government, and financial services. The deadline for proposal submission is March 31, 2025. For more information, visit the solicitation agency's website [here](https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/).
DOD SBIR 24.4 Annual - NAVSEA Open Topic for Sustainment and Obsolescence
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the NAVSEA Open Topic for Sustainment and Obsolescence. The objective is to address Navy needs regarding sustainment and obsolescence. NAVSEA is looking for existing technology demonstration platforms, prototypes, and commercial products that can quickly and reliably get Navy assets back in the field. The focus areas for potential projects include material quality, AI/ML generated work instructions, additive manufacturing advancements, cold spray technology advancements, shipyard and maintenance operational logistics improvements, rapid manufacturing for urgent part obsolescence needs, and digital twins for system lifecycle sustainability and design evolution. The Phase I awards for this topic will have a period of performance of four months and a cost not to exceed $75,000. Phase I feasibility will describe the proposed technology, improvements to existing capabilities, and impacts to current logistics. Phase II will involve developing a functional prototype, a transition plan, and further commercialization. The Phase II effort will be specific to each project. The technology developed through this program will have dual-use applications and can be applied commercially. The solicitation is open until March 31, 2025. For more information, visit the [solicitation link](https://www.sbir.gov/node/2652283).
DOD SBIR 24.4 Annual - NAVWAR Open Topic for Advanced Data Integrity and Control Methods
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the NAVWAR Open Topic for Advanced Data Integrity and Control Methods. The objective of this solicitation is to develop a method to assure integrity, control access, and distribution for information on any device or network. The DOD requires the ability to securely move information from anywhere to anywhere, and once delivered, ensure its integrity, control access, and limit further distribution. The current approach to achieving this relies on networks and applications, but the DOD is exploring methods to control data independent of an application or platform. Proposed solutions must protect data independent of networks, applications, or database technologies, function in disrupted, disconnected, intermittent, and low-bandwidth situations, and recover gracefully once connectivity is restored. The Phase I awards for this topic will have a period of performance of four months and a cost not to exceed $75,000, while Phase II will involve a small-scale deployment of the proposed concept. Phase III will focus on integrating the capability demonstrated in Phase II with current Naval networks. The technology developed through this solicitation has potential applications beyond the defense domain and can benefit anyone working with sensitive information.
DOD SBIR 24.4 Annual - xTechScalable AI 2
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the xTechScalable AI 2 topic. This solicitation focuses on two main areas: 1. Scalable Tools for Automated AI Risk Management and Algorithmic Analysis: The Army is looking for automated tools to evaluate and mitigate risk against an AI Risk Management Framework (RMF) to ensure trusted and validated AI models. The tools should be able to evaluate multiple dimensions of AI risk, classify and quantify AI risk, and propose mitigation options. The Army is particularly interested in tools that can accept risk-related inputs from multiple data sources and modalities and have standardized evaluation methods and mitigation strategies. 2. Scalable Techniques for Robust Testing and Evaluation (T&E) of AI Operations Pipelines: The Army needs a robust and automated T&E approach for AI Operations Pipelines. This includes evaluating data integrity, data labeling methodologies, and model training. The Army is interested in tools that can identify and evaluate data integrity, assess the quality and accuracy of labels applied to training datasets, and evaluate model performance in terms of resource consumption, robustness, scalability, and privacy and security. The Phase I proposals can receive up to $250,000 for a 6-month period, while Direct to Phase II proposals can receive up to $2,000,000 for an 18-month period. Phase II involves producing prototype solutions that will be evaluated by soldiers, and Phase III focuses on maturing the technology and producing prototypes for further development and commercialization. The xTechScalable AI 2 prize competition will be used to identify small businesses eligible to submit proposals under this topic. The full solicitation can be found at [this link](https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/).