ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity

Researchers introduce ReDON, a new recurrent diffractive optical neural processor that overcomes limitations of traditional optical neural networks through reconfigurable self-modulated nonlinearity. The architecture demonstrates up to 20% improved accuracy on image recognition tasks while maintaining energy efficiency, establishing a new paradigm for non-von Neumann analog processors.