Network Technologies

antennas, radio frequency, communications systems

Continuous Time Spiking Neural Network Field Programmable Neural Network Array

A244 PHase I

Field programmable gate arrays (FPGA) are a high volume, programmable, relatively low cost, approach for creating hardware applications from state machines to softcore processors. A field programmable neural network equivalent of a FPGA is needed to provide the same level of flexibility at low cost for neural network applications. A field programmable neural network array would also provide bring FPGA-like functionality to DoD and Army neural network applications and empower future neural network developments.

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AI/ML Augmented Antenna Systems for Contested Electromagnetic Environments

A244 PHase I

Future conflicts are anticipated to involve significant use of autonomous unmanned aircraft system (UAS) weapons combined with aggressive electromagnetic interference and adversary geolocation of radio frequency (RF) emissions. Spatial and spectral management overlaid on fielded tactical waveforms and navigation signals will improve soldier lethality and survivability by providing awareness of enemy electromagnetic spectrum operations and enabling communications with reduced risk of detection.

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Non-Radio Frequency Transceiver Alternative Communicator

Solders in a vehicle

The U.S. Army seeks to develop a small, energy-efficient and self-contained transceiver that can wirelessly communicate between two points up to 300 meters away without using the traditional radio-frequency transport medium. Through an NRF-TAC solution, the Army wants a non-standard means of signal communication, such as magnetic, acoustic or infrared, that is difficult to detect and report in an environment of highly covert activity. The utilization of the Non-Radio Frequency Transceiver Alternative Communicator (NRF-TAC) will enable new mission deployment possibilities for the operation and control of remote sensors.

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Adapting Commercial Technologies to Deliver the Modular Attributable Sensor System (MASS), an Array of AI-enabled Sensor Nodes Interoperable with the Unified Network

U.S. Army SBIR

Today, large Army installations rely on sparse, labor-intensive patrols for security, training operations, compliance, and other routine operational tasks. As a result, these areas suffer from high operational costs, slow response times, and frequent disruptions to training activities, directly impacting military readiness.

Adapting Commercial Technologies to Deliver the Modular Attributable Sensor System (MASS), an Array of AI-enabled Sensor Nodes Interoperable with the Unified Network Read More »

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