Award Data

Cybercrimes are being committed constantly online against all persons, organizations and nations; becoming one of mankind’s greatest problems; threatening with cyber thefts of information, data, secrets; causing damages estimated in $ trillions; and creating new forms of extortions and crimes (e.g. ransomware). The same dangers could impact our nation’s federal and defense computing systems, w ...

Using the AI/ML technology of Long Short Term Memory to detect and heal data contained in Navy supply chain information systems. Training the LSTM data model to inherit the Subject Matter Expertise value to produce accurate material forecasting reports.

The US Navy owns and maintains the one of the largest fleets of military aircraft in the world. Maintaining and supplying these aircraft is both time and resource intensive. Virtualitics proposes to produce a proof of concept during Phase I that demonstrates the feasibility of using machine learning to predict maintenance needs for a specific aircraft component. Using machine learning techniques i ...

Jove Sciences Inc. has been developing and testing the multi-INT near real time Advanced Correlator-Navy (ACOR-N) data fusion processor since 2004 to Detect, Track, Classify, and Identify (DTC&I) any contact of interest worldwide, especially those exhibiting Anomalous Behavior (AB). The two tasks proposed here will address “8 - Integration of Automatic Identification System (AIS) Data through AI ...

The goal of the Calypso effort is to provide the Navy with potential methods and approaches for testing AI/ML models and for developing a certification capability prior to deployment of models across USG networks. This effort will provide the Navy with a critical capability across AI/ML development and deployment – the ability to achieve operational explainability (does the model do what it says ...

To address the Navy’s need for the development of cutting-edge artificial intelligence (AI)/machine learning (ML) techniques for accurate unmanned aircraft system (UAS) image recognition, Physical Optics Corporation (POC) proposes to develop a new Deep Learning-based UAS Multimodal Imagery Perception (DUMIP) software suite. It is based on a new system design that utilizes convolutional neural ne ...

To address the Navy’s need for trustworthy AI systems that are resilient to adversarial attacks, Intellisense Systems, Inc. (ISI) proposes to develop a new Radiofrequency Ensemble Classifier (RADEC) system based on an ensemble of complimentary classifiers trained on randomly transformed/augmented data. Specifically, the innovation in using a novel meta-learning genetic algorithm to optimally sel ...

Toyon Research proposes to apply deep reinforcement learning to the problem of managing decentralized teams of unmanned systems to meet complex Navy mission objectives. This research will seek to understand the extent to which an artificial intelligence (AI) can learn to make resource allocation decisions from the experience gained by interacting with a simulated battlespace. First, a simulation-b ...

By leveraging open-source tools and frameworks, we propose to build CORSI - a suite of AI verification & validation tools of different types of neural networks operating under different circumstances. By utilizing our Risk Framework, Assumption and Safety Violation framework, CORSI will generate a Certificate of Robustness (COR) as the final outcome. Our tools will have 3 components DNN Toolkit, B ...

ATAC leverages our 20+ years of experience in aviation surveillance data analytics and modeling to develop significant capabilities for Navy SBIR Subtopic N193-A001 focus area 7. Our approach applies Machine Learning (ML) and Artificial Intelligence (AI) techniques to ADS-B data for behavior characterization (BC) and anomaly detection (AD). The proposed approach is innovative because: (1) It appli ...