106 citations · 107 across the 3 of their papers we have counts for
3 papers
cs.AR2025
What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
Renjie Li, Wenjie Wei, Qi Xin +7
Large language models (LLMs) are rapidly pushing the limits of contemporary computing hardware. For example, training GPT-3 has been estimated to consume around 1300 MWh of electri…
physics.optics2023★ 106 cited
Photonics for Neuromorphic Computing: Fundamentals, Devices, and Opportunities
Renjie Li, Yuanhao Gong, Hai Huang +4
In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are becoming predominant: the exponential growth of large AI model sizes and the explosion of massiv…
physics.optics2021★ 1 cited
LLM4Laser: Large Language Models Automate the Design of Lasers
Renjie Li, Ceyao Zhang, Sixuan Mao +4
With the rapid evolution of global autonomous driving technology, the demand for its core sensing hardware, Light Detection and Ranging (LiDAR), is escalating. As the light source…