Source: enterpriseai.news Researchers from George Washington University have reported an approach for building photonic tensor cores that leverages phase change photonic memory to implement a neural network (NN). Their novel architecture, reported online in AIP Applied Physics Review last week, promises both performance gains and power advantages over traditional GPUs and other tensor core devices. Read More