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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Low-Rank Tensor Fusion for Enhanced Deep Learning-Based Multimodal Brain Age Estimation
by: Xia Liu, et al.
Published: (2024-12-01) -
Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories
by: Stanley Cheung, et al.
Published: (2025-05-01) -
Generalized Logarithmic Tensor Nuclear Norm for Hyperspectral-Multispectral Image Fusion via Tensor Ring Decomposition
by: Jun Zhang, et al.
Published: (2025-01-01) -
Hankel Tensor Subspace Representation for Remotely Sensed Image Fusion
by: Fei Ma, et al.
Published: (2025-01-01) -
Research on a Microexpression Recognition Technology Based on Multimodal Fusion
by: Jie Kang, et al.
Published: (2021-01-01)