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Area of Science:

  • Technology Transfer
  • Artificial Intelligence
  • Innovation Management

Background:

  • Artificial Intelligence (AI) is increasingly integrated across various sectors, including legal and biomedical fields.
  • Effective technology transfer relies on efficient contract management and invention commercialization.
  • AI presents potential solutions for optimizing complex technology transfer processes.

Purpose of the Study:

  • To examine the current applications of AI in technology transfer.
  • To review AI's capabilities in managing technology transfer agreements and commercialization.
  • To assess the future potential impact of AI on the technology transfer landscape.

Main Methods:

  • Literature review of AI applications in technology transfer.
  • Analysis of AI tools for contract management.
  • Evaluation of AI's role in invention commercialization processes.

Main Results:

  • AI is emerging as a valuable tool for managing complex contracts in technology transfer.
  • AI demonstrates capabilities in streamlining invention commercialization workflows.
  • Current AI applications show promise for enhancing efficiency and effectiveness in technology transfer.

Conclusions:

  • AI holds significant potential to revolutionize technology transfer operations.
  • Further research and development are needed to fully leverage AI in this field.
  • AI integration can lead to more efficient and successful technology transfer outcomes.