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This paper explores how AI and ML techniques can optimize the design, operation, and performance of optoelectronic devices, fostering advancements in energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities. Abstract— The integration of Artificial Intelligence (AI) and Machine Learning (ML) into optoelectronics presents transfor- mative opportunities to address global sustainability challenges. Optoelectronic systems, with their capability to harness light- matter interactions for sensing. The 26th China International Optoelectronic Exposition (CIOE 2025) concluded successfully in Shenzhen last month, drawing more than 3,800 global enterprises across the optoelectronic spectrum. It solves the bandwidth limitation problem in the post-Moore era.
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