January 01, 2024
Recommended:
Awarding Agency: Space Development Agency
Contract Number: TBD
Description: This SBIR Direct to Phase II Research/Research and Development (R/R&D) project aims to produce a Technology Readiness Level 8 (TRL-8), low Size, Weight, and Power-Cost (SWaP-C) quantum-resistant encryption device and achieve National Security Agency (NSA) Type 1 certification. The new encryption device is based on Isidore Quantum® and will enable point-to-multipoint encryption and facilitate cross-domain operations, ensuring that classified military networks can operate securely
alongside unclassified commercial networks.
Isidore Quantum® will ensure robust protection against cyber threats while maintaining high network performance and efficiency. The autonomous key management and zero-trust architecture inherent in Isidore reduces vulnerabilities and streamline security operations, making it an ideal solution for the demanding requirements of modern space communication networks, which require both high security and operational efficiency.
The anticipated results of the D2P2 R/R&D project is a TRL-8 space encryptor.
Key Words
High-Throughput Space Crptography, Networking Equipment, Communications Equipment, Space Internet, Space Infrastructure, Artificial Intelligence (Anomaly Detector, Deep Reinforcement Learning Agent), Counter Adversarial AI, Encryption, cybersecurity, neuromorphic processor, pRadio Frequency, SATCOM, Zero Trust, Hybrid Space Infrastructure, Proliferated Warfighter Space Architecture (PWSA)
Awarding Agency: US Space Force/Space Development Agency
Contract Number: FA24012490044
Description: Leverage the Coherent Logix’s leading C-programmable, low power, high-performance, software-defined System on Chip (SOC) optimized to reduce the latency enabling packet forwarding delay of less than 10us, while enabling data frames to be transmitted in multi-channels concurrently. The throughput of the space router will exceed 1PB/s.
Key Words
High Performance or High-Throughput Space Router, Networking Equipment, Communications Equipment, Space Internet, Space Infrastructure, Artificial Intelligence (Anomaly Detector, Deep Reinforcement Learning Agent), Counter Adversarial AI, Encryption, cybersecurity, neuromorphic processor, pRadio Frequency, SATCOM, Zero Trust, Hybrid Space Infrastructure, Proliferated Warfighter Space Architecture (PWSA)
Awarding Agency: National Science Foundation
Award Number: 2327618
Description: Develop a blockchain/DLT to ensure the provenance, integrity and quality of space-based Machine Learning algorithms and associated training data (counter adversarial Artificial Intelligence).
The CASI-D project focuses on the development of a Blockchain solution to manage the governance and provenance of ML/AI algorithms and associated training data for CubeSats and other space infrastructure. Phase I addresses the growing concerns around adversarial AI. At the core of the CASI-D project is the development of an advanced a Blockchain to support its governance framework, including automated auditing, risk assessment, and compliance monitoring. By integrating these technologies, the project enhances the ability to detect and address potential issues in real-time, ensuring the security of ML/AI models developed for on-orbit systems.
The CASI-D project complements the Space COMSEC project by establishing robust AI governance frameworks ensure the lineage and provenance of Isidore Quantum’s ML models and training data. Together, Isidore Quantum® and CASI-D creates a secure, transparent, and sound environment for space communications, balancing technological innovation with governance.
Key Words
Adversarial AI AAI), AI, Blockchain/DLT, Counter Adversarial Artificial Intelligence, CubeSat, Cybersecurity, Data Drift, Deep Learning, DevSecOps, Electronic Discovery, Forensics, Internet, Physics-Based Models, Model Drift, Space, Space-Based Manufacturing, Training Data Provenance, Trustworthy Artificial Intelligence, Identity Management (ICAM), IPV6, Poison Data
Awarding Agency: Department of the Navy
Contract Number: N6833524C0170
Description: The proposed capability will address Commercial technology (TRL 8/9) to enhance mission capabilities of unmanned surface and subsurface vessels (USV/UUV) and systems. Global Positioning System (GPS) denied navigation, small unmanned underwater vehicles and bottom crawlers, improved C3 (Command, Control and Communications), resilient communications paths, high throughput data exfiltration/infiltration paths, replenishment, and monitoring, sustainment, repair and maintenance of unmanned systems.
Artificial Intelligence-based sense and avoid systems for small UUVs. Increased autonomy for unmanned resupply USV. Alternative Position Navigation and Timing (PNT) systems, including optical ship-relative navigation. Reduced data-exchange requirements. Low Probability of Intercept/Detection (LPI/D) communications methods.
Key Words
Artificial Intelligence (Anomaly Detector, Deep Reinforcement Learning Agent), beam steering antenna, Counter Electronic Warfare, Encryption, cybersecurity, Frequency Hopping, 5G, Low Probability of Detection/Low Probability of Interception (LPD/LPI), neuromorphic processor, physics-based models, phased array antenna, quantum resistant, Radio Frequency (RF), SATCOM, Software Defined Radio, Zero Trust, USV/UUV
Autonomy, Command, Control, Communications (C3), C4ISR, Contested Logistics, Cyber Security, Distributed Sensing and Communications (DSaC), Telecommunications. Includes testing for Electromagnetic Compatibility EMC/Electromagnetic Interference (EMI) with NATO and coalition partner systems
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
Contested logistics (fuel and water quality testing), Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, Expeditionary Environments
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: 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
Contested logistics (fuel and water quality testing), Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, Expeditionary Environments
Awarding Agency: US Army
Contract Number: W519TC-23-G-0021
Description: The BOA is for Artificial Intelligence and cybersecurity related, not-traditional program and technical management support services and work products to Department of Defense (DOD) programs, cyber community and customers under individual task orders. Specific task order scope is identified at the task order level.
Key Words:
Artificial Intelligence, Cybersecurity, Ethical AI, Governance, Trustworthy AI, Responsible AI, Data Engineering, Data Governance, Training Data, Zero Trust
Validity and Reliability, Safety, Security and Resiliency, Accountability and Transparency, Explainability and Interpretability, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Data Drift
Awarding Agency: US Air Force
Contract Number: FA864923P1259
Description: Isidore also incorporates a patent pending Deep Reinforcement Learning, and physics-based models as an auto immune response system for cyber events that follows the human immune system to learn the patterns of life, detects anomalies, and mimic operator real-time analysis and problem solving.
Key Words:
Artificial Intelligence, Ethical AI, Governance, Trustworthy AI, Responsible AI, Data Engineering, Data Governance, Training Data
Validity and Reliability, Safety, Security and Resiliency, Accountability and Transparency, Explainability and Interpretability, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Data Drift
Awarding Agency: US Air Force
Contract Number: FA864923P0006
Description: Incorporates a patent pending Deep Learning-based Anomaly Detector to learn the patterns of life, detects anomalies, and execute an immune system response when under attack.
Key Words:
Artificial Intelligence (Anomaly Detector), Counter Adversarial AI, Encryption, cybersecurity, ICS/SCADA, IoT, IIoT, Military IoT, physics-based models, quantum resistant, Zero Trust
Operational Technologies, Industry 4.0, Utilities (power, water, energy), Expeditionary Environments
Awarding Agency: US Air Force
Contract Number: FA864923P0345
Description: Incorporates a patent pending AI-based alarm discriminator that learns the patterns of life, detects anomalies, and mimics operator real-time analysis and problem solving.
Key Words
Artificial Intelligence (Anomaly Detector), Counter Adversarial AI, Encryption, cybersecurity, 5G, quantum resistant, Zero Trust, WIFI
Command, Control, Communications (C3), Distributed Sensing and Communications, Expeditionary Environments, Contested, Executive Communications, Denied Operationally Limited (CDO-L), Telecommunications
Awarding Agency: Public Democracy, Inc.
Award Numbers: Commercial
Description: The Kindness Bot leverages our NSF SBIR-derived Enterprise Knowledge Graph (US Patent 11, 689,660 B2), Large Language Model/Generative Artificial Intelligence (GAI), and ChatBots in support of Public Democracy's work to counter online hate speech. This advanced system maps intricate connections between entities and sentiments, enhancing Public Democracy's ability to identify and counteract malign narratives.
Key Words:
Artificial Intelligence, Natural Language Processing (NLP), ChatBots, Enterprise Knowledge Graph, Generative AI (GAI), Large Language Models (LLM)
Mitigation of online hate speech
Awarding Agency: US Army, Joint Artificial Intelligence Center (JAIC)
Contract Number: W52P1J-22-A-0040
Description: Trustworthy Artificial Intelligence, Artificial Intelligence Test and Evaluation. Specific task order scope is identified at the task order level.
Key Words:
Artificial Intelligence, Ethical AI, Governance, Trustworthy AI, Responsible AI, Data Engineering, Data Governance, Training Data
Validity and Reliability, Safety, Security and Resiliency, Accountability and Transparency, Explainability and Interpretability, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Data Drift
Awarding Agency: National Science Foundation
Award Numbers: AN 1938135, AN 2028451
Description: In Phase II, we developed a method for storing data in a blockchain in a high-performing manner, to ensure quality training of ML/AI models, training data (data governance) and production level inference. The innovation addressed the challenge of data drift and adversarial AI attacks where the provenance of the data is unknown. The blockchain also facilitates electronic discovery throughout the complaint filing and litigation process.
Phase II leveraged a Large Language Model (LLM/Generative AI (GAI)), Enterprise Knowledge Graph, and semantic reasoning to counter scams, misinformation, and disinformation. The detection and counter malign influence technology works in 28 different languages. A honeypot was developed that interacts autonomously with bots and malign influence actors.
Key Words:
Analytics, Artificial Intelligence, Blockchain, Ethical AI, Governance, Trustworthy AI, Responsible AI, Data Engineering, Data Governance, Training Data, Taxonomy
Validity and Reliability, Safety, Security and Resiliency, Accountability and Transparency, Explainability and Interpretability, Predictive Analytics, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Data Drift
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