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Home / Technology / AI Superpowers US & China Share Research Beyond Rivalry

AI Superpowers US & China Share Research Beyond Rivalry

22 Jan

•

Summary

  • 3% of NeurIPS papers show US-China institutional collaboration.
  • AI models like Google's Transformer and Meta's Llama are widely used.
  • Alibaba's Qwen model is featured in 63 papers with US authors.
AI Superpowers US & China Share Research Beyond Rivalry

While viewed as rivals in artificial intelligence, the United States and China demonstrate substantial collaboration in their research endeavors. An analysis of over 5,000 papers from the Neural Information Processing Systems (NeurIPS) conference revealed that approximately 3% involved authors affiliated with both US and Chinese institutions.

This cross-Pacific teamwork is evident in the adoption of influential AI architectures. Google's Transformer model, for instance, is a component in 292 papers featuring Chinese authors. Similarly, Meta's Llama models appeared in 106 papers. China's own advancements, such as Alibaba's Qwen large language model, are also integrated into research involving US organizations, appearing in 63 such papers.

Experts suggest this level of cooperation is unsurprising, with AI ecosystems in both nations being deeply interconnected. This collaboration benefits both countries, regardless of geopolitical dynamics. Such partnerships, often stemming from academic exchanges and professional networks, underscore the global nature of AI advancement.

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Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
About 3% of the analyzed NeurIPS papers involved collaboration between US and Chinese institutions.
Models like Google's Transformer and Meta's Llama are widely used in research involving Chinese institutions, while Alibaba's Qwen is used in research involving US institutions.
Experts believe the US and Chinese AI ecosystems are enmeshed and both benefit from continued teamwork.

Read more news on

Technologyside-arrowUnited Statesside-arrowChinaside-arrowGoogleside-arrow

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