TOMFuN: A tensorized optical multimodal fusion network

This paper proposes a real-size, single-shot, high-speed, and energy-efficient tensorized optical multimodal fusion network (TOMFuN) on an electro-photonic large-scale III–V-on-Si in-memory compute engine. The TOMFuN architecture leverages a memory-efficient and low-complexity self-attention for the...

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Bibliographic Details
Main Authors: Xian Xiao, Yequan Zhao, Yuan Yuan, Geza Kurczveil, Marco Fiorentino, Ray Beausoleil, Zheng Zhang
Format: Article
Language:English
Published: AIP Publishing LLC 2025-03-01
Series:APL Machine Learning
Online Access:http://dx.doi.org/10.1063/5.0255883
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