Utilizing Large Language Model (LLM)/Generative AI to Develop Energy Calculation Tool for Manufacturing Processes
ID: DLA241-004Type: BOTH
Overview

Topic

Utilizing Large Language Model (LLM)/Generative AI to Develop Energy Calculation Tool for Manufacturing Processes

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2024
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 a Small Business Innovation Research (SBIR) program with a focus on utilizing Large Language Model (LLM)/Generative AI to develop an energy calculation tool for manufacturing processes. The objective of this research is to reduce energy consumption in manufacturing, which can lead to substantial cost savings. The technology falls under the OUSD (R&E) critical technology areas of Advanced Computing and Software, Advanced Infrastructure & Advanced Manufacturing, Trusted AI, and Autonomy. The research will involve analyzing value-added and non-value-added processes in manufacturing and quantifying energy usage. The project duration for Phase I is 6 months with a cost limit of $100,000, while Phase II has a duration of 18 months and a cost limit of $1,000,000. Phase I will focus on delivering a TRL level 3 proof of concept, while Phase II will involve building a working prototype system. Collaboration with relevant DoD component organizations and supply chain participants is recommended for both phases. Phase III does not have specific funding associated with it but aims to develop relationships and business growth opportunities. Relevant keywords for this solicitation include discrete manufacturing, energy use, value and non-value add, IT system, Large Language Model (LLM), and Generative AI.

Files
No associated files provided.
Similar Opportunities
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/).
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 - 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). 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, and model training. The Army is interested in tools that can identify and evaluate data integrity, assess the quality and accuracy of data labels, 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 the following link: [solicitation_agency_url].
DOD SBIR 24.4 Annual - Automated Functional Grading of Materials for Directed Energy Deposition Additive Manufacturing
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the development of software for automated functional grading of materials in directed energy deposition additive manufacturing. This research topic aims to enable the production of complex, multi-material munitions with enhanced lethality. The software should allow for the creation of functionally graded materials (FGMs) by generating tool paths for multi-material grading in at least three directions. The software should be capable of accepting user inputted gradients for combinations of at least four metals simultaneously. In Phase I, a proof-of-concept software should be developed to print FGMs on a directed energy deposition additive manufacturing printer. The software should be able to accept user-generated gradients and demonstrate control over changing the mixing of metals. Materials characterization should be performed to verify the chemistry of the deposited gradient. In Phase II, the software should be expanded into a prototype capability, allowing for user-defined material grading using up to four metals simultaneously. Graded test coupons should be fabricated in multiple orientations, and a demonstration part containing a functionally graded material should be generated. Materials characterization should be performed for each coupon. The development of this software will greatly increase manufacturing capability and potentially help increase widespread adoption of directed energy deposition additive manufacturing technology. The military and civilian sectors, including manufacturing research, aerospace, mining, power, tool manufacturing, and medical applications, would benefit from this technology. The solicitation is open until March 31, 2025. For more information, visit the [solicitation link](https://www.sbir.gov/node/2651311).
DOD SBIR 24.4 Annual - Tactical Micro-grid Standard Add-on for Power Sources
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic "Tactical Micro-grid Standard Add-on for Power Sources" as part of their SBIR 24.4 Annual solicitation. The goal of this research is to address the need for reliable and flexible power solutions in dynamic and unpredictable environments, including directed energy. The objective is to enable the seamless integration of diverse power sources, such as renewable energy, generators, and storage systems, into a cohesive network. This would create resilient, self-sustaining power infrastructure capable of providing uninterrupted energy supply, enhancing operational efficiency, and reducing reliance on vulnerable external grids. The solicitation is open for Phase I proposals with a budget of up to $250,000 for a 6-month period of performance. Phase I involves analyzing the current state of power infrastructure, conceptualizing the design, and developing a feasibility study. Phase II will focus on building a fully functional prototype. The potential applications of this technology include urban and critical infrastructure, remote/rural communities, electric vehicles, autonomous vehicles, and data centers. The implementation of the Tactical Micro-grid Standard has the potential to establish a modular, efficient, and more effective smart power microgrid.