Transitioning Spacecraft to FPGA Computing for Faster Machine Learning Object Detection
Submitted by Ryan Mcbee on Mon, 08/28/2023
Computing in space tends to be constrained by the size, weight, power and cost of radiation-hardened systems that can fit on spacecraft. Historically, these constraints have ruled out deployment of machine learning (ML) and artificial intelligence (AI) applications, which require substantial memory and power to automate image detection and other tasks.