Hardware-centric paradigm solves tradeoff between chip memory/ logic units during heavy artificial intelligence training workloads
https://www.eurekalert.org/news-releases/1129445 "soaring energy/ heat demands from light-based signals translating data back/ forth between electric/ optical states, overcome integrating TPA-QCN organic molecular material onto silicon infrastructure... exhibits powerful 2nd-order optical non-linearity allowing traveling light beams to interact/ process data on chip, enabling passive signal modulation/ amplification compatible with low temperature/ cost commercial manufacturing... scalable/ energy-efficient: hybrid electro-optic AI computing clusters"