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Resource-efficient photonic networks for next-generation AI computing
Ilker Oguz1, Mustafa Yildirim2, Jih-Liang Hsieh2
1EPFL, Institute of Electrical and Micro Engineering, Lausanne, Switzerland. ilker.oguz@outlook.com.
Light, Science & Applications
|January 3, 2025
Abstract:
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.

