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High-efficiency Intelligent Computing System for Hypersonic Aircraft
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Yongjun XU, Hangda LIU, Zijia AN, Boyu DIAO
Missiles and Space Vehicles | 2025, 48(4) : 53 - 58
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Missiles and Space Vehicles | 2025, 48(4): 53-58
Artificial Intelligence Technology
High-efficiency Intelligent Computing System for Hypersonic Aircraft
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Yongjun XU, Hangda LIU, Zijia AN, Boyu DIAO
Affiliations
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190
Published: 2025-08-25 doi: 10.7654/j.issn.2097-1974.20250407
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This article takes the real-time intelligent reconnaissance of the American "Black Swift" hypersonic intelligent aircraft as an example to analyze the demand for strong real-time, high-energy efficiency intelligent computing of typical intelligent hypersonic vehicles. On this basis, it analyzes in detail how to build a strong real-time, high-energy efficiency intelligent computing system for intelligent hypersonic vehicles from three levels: intelligent model lightweight, software and hardware collaborative compilation and optimization, and ultra-heterogeneous integrated computing hardware. Furthermore, a system integration example is provided to illustrate the practical application of these principles. In the future, with the loading of the strong real-time, high-energy efficiency intelligent computing system, intelligent hypersonic aircraft will be more autonomous, reliable and capable of group collaboration, and will drive the intelligent upgrade of aerospace cross-domain flight and global rapid transit.

hypersonic vehicles  /  intelligent  /  hard real-time  /  high energy efficiency  /  intelligent computing system
Yongjun XU, Hangda LIU, Zijia AN, Boyu DIAO. High-efficiency Intelligent Computing System for Hypersonic Aircraft[J]. Missiles and Space Vehicles, 2025 , 48 (4) : 53 -58 . DOI: 10.7654/j.issn.2097-1974.20250407
Year 2025 volume 48 Issue 4
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Article Info
doi: 10.7654/j.issn.2097-1974.20250407
  • Receive Date:2024-10-21
  • Online Date:2025-10-27
  • Published:2025-08-25
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  • Received:2024-10-21
  • Revised:2025-07-02
Affiliations
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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