{"id":"W4308514394","doi":"10.1364/optica.475493","title":"Silicon photonic architecture for training deep neural networks with direct feedback alignment","year":2022,"lang":"en","type":"article","venue":"Optica","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of British Columbia; Queen's University","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Foundation for Innovation","keywords":"Training (meteorology); Architecture; Artificial neural network; Computer science; Computer architecture; Photonics; Artificial intelligence; Optoelectronics; Materials science; Physics; Geography","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":[0.0002820545,0.0002540239,0.0001425541,0.0001738471,0.0002285021,0.0003531693,0.0007627106,0.0004011201,0.003228256],"category_scores_gemma":[0.0006694857,0.0002074714,0.0001582725,0.0002361896,0.0002625435,0.0005656424,0.0003783794,0.0006109538,0.0006132898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551494,"about_ca_system_score_gemma":0.0008339051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812753,"about_ca_topic_score_gemma":0.005212854,"domain_scores_codex":[0.9998609,0.00001761971,0.0000068989,0.0000259322,0.00006997014,0.00001863227],"domain_scores_gemma":[0.9998416,0.00006064992,0.00002177163,0.00002246743,0.00004460715,0.000008901865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003386823,0.0003727334,0.002658513,0.0002987302,0.0001414633,0.0002178301,0.000145929,0.3746242,0.2888469,0.0414095,0.01009861,0.280847],"study_design_scores_gemma":[0.00001975894,0.0001223705,0.0002966787,0.00000745208,0.000009094554,0.00003666829,0.00001133665,0.943303,0.04998488,0.002545162,0.003654704,0.000008870291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436914,0.0005283928,0.8339964,0.0006038102,0.0001958892,0.00009385173,0.0002029412,0.003487344,0.01719998],"genre_scores_gemma":[0.7172849,0.0001919301,0.2768583,0.0001879568,0.00002746141,0.0001395666,0.0002374667,0.00009306179,0.004979429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003228256,"threshold_uncertainty_score":0.01079959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419882078132518,"score_gpt":0.2194738990975723,"score_spread":0.2052750783162472,"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."}}