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paper

Academia x Industry: The Role of Fundamentals for Silicon in an AI Native Era

arXiv ↗
ID
2609.09344
分类
首次捕获
2026-09-10
状态
unread
作者
Vincent T. Lee, Armin Alaghi, Carole-Jean Wu, Sai Zhang, Brandon Reagen, Thierry Tambe, Jean Boufarhat, Matheus Trevisan Moreira
信号
SI 46

信号历史

  • 2026-09-10Scholar Inbox · 相关分 46
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摘要

Agentic AI is set to become one of the most transformational technologies in generations and materially change how we approach silicon design and engineering. The impact is being felt in real time amid a rapidly changing landscape, which can make it overwhelming for both silicon practitioners and academics to adapt to the AI native silicon design era. To add structure to how we navigate this transition, we provide a joint view from academia and industry silicon practitioners of the challenges, opportunities, and considerations we expect will catalyze how the community transitions into an AI native silicon future. In particular, we reemphasize the importance of core silicon design fundamentals in academic training and why they have renewed importance in research and industry practice for AI native silicon design. It is our hope that the views provided here will offer valuable and complementary perspectives to those in academia and industry to interpret, inform, and catalyze the transition to the AI native era. We expect that many similar and overlapping views will emerge, but the precise technical details will differ across stakeholders, so it is valuable for the community to amass a diversity of viewpoints.

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