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<p>Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics’ unique strengths. The recent implementation of cellular automata in photonics demonstrates how a few local interactions can achieve high throughput and precision.</p>

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Resource-efficient photonic networks for next-generation AI computing

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月4日

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  • Ilker Oguz,
  • Mustafa Yildirim,
  • Jih-Liang Hsieh,
  • Niyazi Ulas Dinc,
  • Christophe Moser,
  • Demetri Psaltis

摘要

Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics’ unique strengths. The recent implementation of cellular automata in photonics demonstrates how a few local interactions can achieve high throughput and precision.