We propose the first tensorized optical multimodal fusion network architecture with a self-attention mechanism and low-rank tensor fusion. Simulation results show $51.3 \times$ less hardware requirement and $3.7\times 10^{13}$ MAC/J energy efficiency.

翻译：模拟结果显示,硬件需求减少了51.3美元,硬件需求减少了5.7美元,MAC/J能源效率降低了3.7美元。