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Neuromorphic Computing for UAS Navigation and Sensing

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https://www.nist.gov/sites/default/files/hero/cloud_blog_post.jpg / (Image Credit: NIST)

Posted on May 11, 2018 | Completed on August 25, 2016 | By: Scott E. Armistead

How can neuromorphic computing be applicable to UAS navigation and sensing?

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Focus Areas

Autonomous Systems C4ISR Military Sensing RMQSI artificial immune system paradigm Artificial Intelligence (AI) augmented and virtual reality (AR/VR) augmented reasoning and decision making autonomous navigation autonomous reasoning and decision making autonomous vehicles cognitive computing cognitive performance convolutional neural network (CNN) Deep Learning distributed intellignece DSIAC State-of-the-Art Report (SOAR) DSIAC Subject Matter Expert (SME) DSIAC Technical Inquiry (TI) Emerging Technology experiential technology gaming (XTech) fault tolerant control systems field programmable analog array (FPAA) image processing memristors neural circuitry neural modeling Neural Networks neurobiological computation neurogaming neuromedical technologies neuromorphic chips neuromorphic computing/processing neuroscience Nvidia pattern recognition roadmaps size weight power and cost (SWaP-C) Soar cognitive architecture unmanned aerial vehicle (UAV) unmanned aircraft system (UAS) Von Neumann architecture