Article

Neuromorphic Photonic Processors for Ultra-Low-Latency Edge Inference

Bhanu Prakash Reddy RellaGolden State University,Department of Information Technology,USANatalya В. YaronovaTashkent State Transport University,Department of Radio Electronic Devices and Systems,Tashkent,Uzbekistan,100167Sathish Krishna AnumulaIBM Corporation,USARajesh GangavarapuIBM Corporation,USA

2025

ABI

Abstract

Neuromorphic photonic processors are promising direction with regard to realising ultra-low-latency inference at the edge, through the parallelism of neuromorphic architectures with the speed of photonic interconnects. A performance evaluation of these processors based on latency, throughput and energy efficiency is presented in this paper. Compared to traditional electronic accelerators, comparative results demonstrate the benefits of neuromorphic systems based on photonics to support nextgeneration edge AI.

Topics

Neural Networks and Reservoir Computing Advanced Memory and Neural Computing Photonic and Optical Devices

Identifiers

DOI: 10.1109/optima67660.2025.11380376

Citations and references

Cited by 011 references

Metrics — AkademScholar · Coming soon