Published in Science · View the paper (DOI)
Researchers have successfully developed a hybrid photonic neural network chip that can perform fast and efficient on-chip backpropagation training. This breakthrough paves the way for scalable, energy-efficient machine learning technologies with potential to reduce carbon footprint and costs of AI computation.
Coverage from 2 institutions