Neuromorphic Computing: the Potential for High-Performance Processing in Space

Artificial intelligence depends upon generating near-realtime data analysis, yet modern computers are often inefficient in the tasks of recognizing, analyzing, and classifying large volumes of information. How can computing that emulates brain functions fill the gap?

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Abstract Neural Network

The R&D and commercial sectors have started to advance neuromorphic computing (NC) capabilities in non-space applications, and the space sector will likely leverage these  accomplishments as a spin-in technology. However, there is no easy path to adopt NC into the space sector. Satellite applications impose strict requirements — including limits on size, weight and power consumption, as well as the need for radiation-tolerance. This drives a need to develop space-resilient NC solutions.

This paper explores: leading hardware innovators; specific triggers which may enable NC hardware to advance towards successful space applications; and general R&D and commercial efforts that will most likely contribute to future space sector NC innovations.