{"id":"W2904694042","doi":"10.1103/physrevx.9.021032","title":"Large-Scale Optical Neural Networks Based on Photoelectric Multiplication","year":2019,"lang":"en","type":"article","venue":"Physical Review X","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":388,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Nvidia; Oak Ridge Institute for Science and Education; Office of the Director of National Intelligence; U.S. Department of Energy","keywords":"Computer science; Scalability; Convolutional neural network; Artificial neural network; Photonics; Limit (mathematics); Deep learning; Noise (video); Hardware acceleration; Physics; Computer engineering; Computer hardware; Artificial intelligence; Optics; Field-programmable gate array; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001064438496314,"score_gpt":0.2677530902603283,"score_spread":0.2577424458753652,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}