Tactical Edge Cognitive Computing (TECC)

Abstract

This effort investigates innovative microelectronic designs that incorporate spiking neural network devices with state-of-the-art digital electronics. Novel physical material processing methods will enable the incorporation of emerging materials for spiking neural networks into complementary metal-oxide semiconductor (CMOS) foundries and circuit structures to enable hardware configuration to different neural networks. Models of spiking devices and circuits guide the translation of mathematical spiking neural networks into state-of-the-art neuron hardware. These designs are combined with state-of-the-art digital electronics to enable highly efficient artificial intelligence on sensors, radios and/or other Army systems.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
8189d71235b7d4cd816c62be48a65df4

Tags

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Microelectronics

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