JB

  is a dedicated AI researcher who delves deeply into understanding neural architectures modeled on human innate systems.

Research Interests

  • Designing Neural Architectures Modeled on Human Cognitive Systems

Cognitive systems play a pivotal role in advancing neural architectures for perception, cognition and reasoning. Research aims to reach optimal neural architectures by aligning them with human cognition.

  • Developing Effective Memory Recall for Model-Acquired Knowledge

While deep models excel in memorization, effectively retrieving the stored knowledge remains a challenge. Research encompasses a wide range of systems for accessing and utilizing knowledge, from information retrieval to understanding complex concepts of reasoning.

  • Deep Learning for Language Acquisition with Minimal Data

Large language models (LLMs) achieve language comprehension through vast amounts of data, whereas humans can acquire language from only a small amount of experience, known as the "poverty of the stimulus" argument. Research seeks deep learning methods that can effectively learn language with limited data by leveraging linguistic features.

Experience

  • AI Researcher, Tanalysis. Nov '23 ~ Present
  • Master of Artificial Intelligence, Theory of Computation Lab, Yonsei University. Sep '21 ~ Aug '23
  • S/W Engineer, Samsung Electronics. Feb '17 ~ Aug '19

Publications

Refer to my Google Scholar

Links