4 papers · 1 filter
Photonic Extreme Learning Machines using Event-Based detection
Vicente Rocha, Tomas Lopes, Joana Teixeira +3
Photonic extreme learning machines use random optical propagation, detection nonlinearity, and a trained linear readout for energy-efficient and scalable optical computing. However…
Probing a theoretical framework for a Photonic Extreme Learning Machine
Vicente Rocha, Duarte Silva, Felipe C. Moreira +3
The development of computing paradigms alternative to von Neumann architectures has recently fueled significant progress in novel all-optical processing solutions. In this work, we…
Event-based Speckle Interrogation for High-Bandwidth Multi-point Optical Fiber Sensing
Tomás Lopes, Joana Teixeira, Vicente V. Rocha +4
Speckle-based fiber optic sensors are well-known to offer high sensitivity but are strongly limited on the interrogation side by low camera frame rates and dynamic range. To addres…
Optical Extreme Learning Machines with Atomic Vapors
Nuno A. Silva, Vicente Rocha, Tiago D. Ferreira
Extreme learning machines explore nonlinear random projections to perform computing tasks on high-dimensional output spaces. Since training only occurs at the output layer, the app…