AI-Driven Photonic Computing: Harnessing Emerging Materials Like LiTaO₃ and Microcombs to Redefine Performance and Efficiency

  As artificial intelligence (AI) and machine learning (ML) models scale to trillions of parameters, electronic systems are reaching fundamental limits in terms of power consumption, latency, and bandwidth. The traditional paradigm of electrons moving through transistors is increasingly unable to meet the demands of these complex computational workloads. To overcome these barriers, researchers are…