Review maps emerging light-driven neuromorphic hardware

A peer-reviewed review synthesises optically driven device approaches intended to improve the energy efficiency and parallelism of neuromorphic computing. It is a research landscape assessment, not a production-chip release or independent system benchmark.

Impact: photonic and optoelectronic approaches may reduce future AI energy constraints, although endurance, manufacturability, programmability and integration remain uneven.