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April 15, 2024, 10:51 p.m.
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Brief news summary

Researchers in China have developed a guide that enables the use of low-cost artificial intelligence chips to enhance hypersonic weapon performance. Tests have shown that a specific module fitted with an Nvidia Jetson TX2i GPU computer module improved the efficiency of computational fluid dynamics models, completing calculations in just 25 milliseconds, four times faster than previous speeds. The TX2i module is low cost and widely available, making it an attractive option for enhancing the capabilities of hypersonic vehicles. The research team's paper also highlighted the potential for reduced research and development costs. However, it remains uncertain why the Nvidia chip was chosen for the study, and it is unlikely to be adopted for Chinese hypersonic missiles due to the availability and reliability of domestic chip manufacturers.

Researchers from China have developed a guide that allows anyone with a low-cost artificial intelligence (AI) chip to enhance the performance of hypersonic weapons. By installing an Nvidia Jetson TX2i GPU computer module into an air-breathing hypersonic aircraft, computational fluid dynamics models can be processed with unprecedented efficiency, completing calculations four times faster than the blink of an eye. The module's high-speed response makes it suitable for real-time optimization and control in scramjet engines. The TX2i module is an affordable alternative to more expensive AI chips, and is widely available online.

The guide also addresses potential challenges and provides detailed instructions. Although Chinese chip manufacturers can supply comparable chips to the military, this project aimed to prove the feasibility of using inexpensive AI chips for hypersonic weapons. Other countries, including Germany, France, Japan, North Korea, and Iran, are also engaged in hypersonic weapon research.


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