Modern Research Funding.pdf

CSET-The-Question-of-Comparative-Advantage-in-Artificial-Intelligence-1.pdf
Preview of modern research funding
🔗 Source: cset.georgetown.edu
📊 Size: 508 KB
👤 Author: Daniel Hague
⬇️ Downloads: 90

Summary

The United States and China are competing in artificial intelligence (AI) and machine learning (ML), with the US possessing strengths in top AI talent and research, and China excelling in commercial applications. The US has a dynamic innovation ecosystem and capabilities in semiconductors, but China's research in AI is rapidly increasing. The development of AI in China will depend on its overall environment for innovation, with the government devoting billions to AI through R&D initiatives. The US has notable strengths in its current workforce, but China's educational initiatives and recruitment of AI talent are scaling up. Funding for basic and applied research in AI is also a critical factor, with the US being slow to increase funding, while China is catching up. The dynamism of national innovation ecosystems, including educational opportunities, access to global talent, and networks of research collaboration, will shape competitiveness in AI.

Description

The United States and China are competing in artificial intelligence (AI) and machine learning (ML), with the US possessing strengths in top AI talent and...

Technical Information

  • File Format: PDF
  • File Size: 508 KB
  • Pages: 56
  • Language: EN
  • Author: Daniel Hague
  • Total Downloads: 90
  • Last Updated: 4 weeks ago

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This PDF document about modern research funding provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into modern research funding.

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