4 citations · 4 across the 3 of their papers we have counts for
3 papers
physics.optics2025
Fully analog end-to-end online training with real-time adaptibility on integrated photonic platform
Zhimu Guo, A. Aadhi, Adam N. McCaughan +4
Analog neuromorphic photonic processors are uniquely positioned to harness the ultrafast bandwidth and inherent parallelism of light, enabling scalability, on-chip integration and…
physics.optics2024
High-Speed Multifunctional Photonic Memory on a Foundry-Processed Photonic Platform
Sadra Rahimi Kari, Marcus Tamura, Zhimu Guo +9
The integration of computing with memory is essential for distributed, massively parallel, and adaptive architectures such as neural networks in artificial intelligence (AI). Accel…
cs.LG2021★ 4 cited
Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg, Joe Lou, Anirudh Jain +1
Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision. In this w…