{"id":"W3163979631","doi":"10.1080/23746149.2021.1981155","title":"Prospects and applications of photonic neural networks","year":2021,"lang":"en","type":"preprint","venue":"Advances in Physics X","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Queen's University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuromorphic engineering; Computer science; Artificial neural network; Photonics; Computer architecture; Reservoir computing; Efficient energy use; Bandwidth (computing); Artificial intelligence; Recurrent neural network; Electrical engineering; Engineering; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303379,0.0003416408,0.0002968142,0.0005148199,0.0004403004,0.001310967,0.0005188079,0.00143945,0.003949826],"category_scores_gemma":[0.0008251821,0.0002454577,0.0002202955,0.0003760579,0.001190204,0.002141374,0.0007445453,0.001434192,0.0007623872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000671417,"about_ca_system_score_gemma":0.0004798341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003701363,"about_ca_topic_score_gemma":0.0002666993,"domain_scores_codex":[0.9997893,0.00005758151,0.000005482487,0.0000321609,0.00008485577,0.00003058055],"domain_scores_gemma":[0.9997315,0.0001554522,0.00001523338,0.00002587509,0.0000502499,0.0000216358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004574638,0.00004464279,0.0003052388,0.0002975836,0.00001389819,0.0001454482,0.0001051727,0.008713531,0.005999978,0.9163812,0.008487231,0.05946027],"study_design_scores_gemma":[0.00002184788,0.00006036192,0.0004038043,0.0002864341,0.00001085531,0.0003092752,0.0001344142,0.08525833,0.00797877,0.7333514,0.17215,0.00003448574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.06525679,0.3442328,0.1422852,0.04554341,0.00260186,0.00007895685,0.0002037009,0.0006467678,0.3991506],"genre_scores_gemma":[0.7301551,0.1698551,0.05333507,0.0018162,0.002294106,0.0001492531,0.0001483992,0.0001231834,0.04212351],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003949826,"threshold_uncertainty_score":0.01321346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008601557675810815,"score_gpt":0.2596281386977384,"score_spread":0.2510265810219276,"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."}}