Survey explores FPGA-based neural network accelerators for space missions

A survey paper published on arXiv explores the use of Field-Programmable Gate Arrays (FPGAs) for accelerating neural networks in space applications. The paper highlights the growing need for advanced onboard computing in space missions and identifies FPGAs as a promising solution due to their flexibility, cost-effectiveness, and radiation tolerance. It analyzes existing research, points out trends and research gaps, and suggests future directions for implementing these accelerators to enhance spacecraft capabilities. AI

RANK_REASON The cluster contains a survey paper published on arXiv, which falls under the research category. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• FPGA
• Neural Networks
• Pedro Antunes
• Space Applications

• paper
• infra

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