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Superhuman floorplans for microchips

delete2021-06-09
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AI
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Andrew B. Kahng *
DOI:10.1038/d41586-021-01515-9delete
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Abstract

Abstract

En 中文
A machine-learning system has been trained to place memory blocks in microchip designs. The system beats human experts at the task, and offers the promise of better, more-rapidly produced chip designs than are currently possible.

Journal

Nature cover
Nature
IF:
48.5
Papers:
1.8W
Citations:
96.5W

Organization

University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K