January 01, 2024
Recommended:
Awarding Agency: Air Force
Contract Number: FA864926P0238
Description: Forward Edge AI's Phase I STTR project, awarded under contract FA864926P0238, is engineering Blaise, a miniaturized, artificially intelligent Raman spectrometer priced under $800 and weighing under 30 grams, built to detect more than 100 chemical and biological warfare agents with 95 percent or greater sensitivity and specificity in under six seconds. Forward Edge AI, working with Sam Houston State University as the Research Institution subcontractor, will train the artificial intelligence engine, integrate the device with the Android Tactical Assault Kit and mesh networking, and validate performance through more than 50 stakeholder interviews and a government sponsored field exercise. Phase I will conclude with a Technology Readiness Level 6 or higher prototype, a final technical report, and a Commercialization Plan positioning Blaise for Phase II and Phase III adoption across the Department of the Air Force and allied defense partners.
Key Words:
Artificial Intelligence, Android Tactical Assault Kit, ATAK, Biological Threat Detection, Blaise, CBRN, Chemical and Biological Threats, Deep Neural Network, Explainable AI, Field Ready Detection, Mesh Networking, MetaSurface, Raman Spectrometer, Vision Transformer, Weapons of Mass Destruction
Awarding Agency: Air Force
Contract Number: FA864921P1006
Description: In the Phase I SBIR, Forward Edge-AI, Inc. augmented a miniature, Commercial-Off-The-Shelf (COTS) Raman instrument with Machine Learning/Artificial Intelligence (ML/AI), new signal processing techniques, and Surface-Enhanced Raman Scattering (SERS) for quick stand-off identification of trace chemicals and microbes (e.g., COVID) in a field setting, thereby bringing laboratory grade science to the edge.
Key Words:
Artificial Intelligence (CNN/RNN), Android ATAK, Federated Learning Marketplace, Machine Learning, Microsoft Azure, signal processing (Wavelet and Fourier transformation), Raman Spectroscopy
Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, viruses, bacteria, Expeditionary Environments, field, standoff
Direct to Phase II - An Artificially Intelligent Raman Spectrometer for Aviation Jet Fuel Quality Testing in a Field Setting
Awarding Agency: Air Force
Contract Number: FA810024C0003
Description: The scope of this Direct to Phase II SBIR project is to develop an artificially intelligent instrument capable of detection and quantification of chemical contaminates in jet fuel in remote, limited environments. If we are successful, tests can be performed in the field in minutes and at one (1) cent per sample versus $300 - $2,300 per sample, even when logistics are contested.
Key Words:
Artificial Intelligence (CNN/RNN), Android ATAK, Deep Learning, Federated Learning Marketplace, Machine Learning, Microsoft Azure, signal processing (Wavelet and Fourier transformation), low-cost Raman Spectroscopy, signals processing
Contested logistics (fuel and water quality testing), Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, Expeditionary Environments, , field, standoff
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