S22-140 Efficient Analog Backpropagation Training Architecture for Photonic Neural Networks Stanford researchers design and demonstrate a novel in situ backpropagation training algorithm for photonic implementations of neural networks. Sunil Pai David Miller Olav Solgaard Shanhui Fan Tyler Hughes Ian Williamson Momchil Minkov Zhanghao Sun
S19-023 Method and Apparatus for Evaluating Electrostatic or Nonlinear Devices Researchers at Stanford have developed methods for evaluating the position of a micro-electromechanical system (MEMS) device in terms of phase and/or amplitude characteristics. Ron Quan Olav Solgaard Sandra Manosalvas-Kjono Zhanghao Sun