AI-EDA: toward a holistic approach to AI-powered EDA
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shin, Youngsoo | ko |
| dc.date.accessioned | 2023-12-04T02:00:35Z | - |
| dc.date.available | 2023-12-04T02:00:35Z | - |
| dc.date.created | 2023-11-27 | - |
| dc.date.issued | 2023-09-12 | - |
| dc.identifier.citation | 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD) | - |
| dc.identifier.uri | http://hdl.handle.net/10203/315642 | - |
| dc.language | English | - |
| dc.publisher | Association for Computing Machinery (ACM) | - |
| dc.title | AI-EDA: toward a holistic approach to AI-powered EDA | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD) | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Snowbird, Utah | - |
| dc.contributor.localauthor | Shin, Youngsoo | - |
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