Research

Research Contents

Development of neural-symbolic platform
applicable to various application services

Objective

The research aims to develop a single neural-symbolic platform by upgrading the technologies developed up to 3rd year and organically integrating them.

  • Konkuk university, Korea university

    Development of probabilistic programming language and execution tools that perform probabilistic integrated reasoning

  • KAIST

    A technique that can draw conclusions about unseen knowledge through probabilistic reasoning

  • Sungkyunkwan university

    A technique that explains the basis and process of drawing conclusions in a format that humans can understand

  • Sogang university

    Technology that enables end-to-end learning by conclusion

  • Wisenut

    Neural-symbolic inference engine interface development that can be used in various field

  • Wisenut

    Development of domain adaption inference technology that enables application of knowledge base extracted from fusion model to specialized domain with little data