Preliminary Study of AI·Data Platform for Medical AI Semiconductor Research and Training
In this study, we studied the implementation of an artificial intelligence (AI) data platform to support medical AI semiconductor research and training for fostering AI semiconductor experts. The proposed AI data platform has two parts to implementing comprehensive and adaptive infrastructure for AI semiconductor research and training. First, the medical AI solution section that deals with data platform and AI platform where is medical data and high-performance computing environment for medical AI solution development. Next is the AI semiconductor section where a diverse infrastructure to built-up the AI semiconductor design platform provides fabless AI semiconductor design and verification, thereby providing the outstanding training environments. Finally, we achieved comprehensive infrastructure for medical AI semiconductor research and training based on AI data platform.
Authors
- Soo-Min Ha (ORCID: https://orcid.org/0000-0002-7417-4033)
- Erdenebayar Urtnasan (ORCID: https://orcid.org/0000-0002-3493-9724)
- Sang Wan Cho (ORCID: https://orcid.org/0000-0001-7258-8059)
- Jae-Soo Kim (ORCID: https://orcid.org/0000-0002-1287-7841)
- Nam Lee (ORCID: https://orcid.org/0000-0001-5320-1672)
Institutions
- Yonsei University (KR)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/icce-asia63397.2024.10773712
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00