{"id":"W3194398314","doi":"10.1364/cleo_si.2021.aw2e.4","title":"Optical neuromorphic processing based on Kerr microcombs","year":2021,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Neuromorphic engineering; Computer science; Convolutional neural network; Scalability; Perceptron; Field-programmable gate array; Multilayer perceptron; Computer hardware; Artificial intelligence; Pattern recognition (psychology); Artificial neural network; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001228622,0.0001518847,0.0001639652,0.000188859,0.0001777056,0.0004371729,0.0004784416,0.0002208141,0.001721988],"category_scores_gemma":[0.000352512,0.0001148432,0.00010594,0.000142056,0.0004153019,0.0007279568,0.0004682888,0.0003396628,0.0003979309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291816,"about_ca_system_score_gemma":0.0001849481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002698463,"about_ca_topic_score_gemma":0.0005880878,"domain_scores_codex":[0.9998922,0.00001147556,0.000004477091,0.00001760399,0.00005653594,0.00001767528],"domain_scores_gemma":[0.999879,0.00003768948,0.00002135944,0.00002178065,0.00002720754,0.00001297792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001710274,0.0001501579,0.0008323634,0.0001629582,0.00002749136,0.0002624686,0.000167217,0.008045944,0.8342228,0.05967634,0.001899455,0.09438175],"study_design_scores_gemma":[0.00004414256,0.0004621513,0.001841084,0.00004262297,0.00002666049,0.0005692495,0.00007228408,0.1989393,0.7312806,0.02581977,0.04084515,0.00005693904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695384,0.002709518,0.2612914,0.00172595,0.0006430175,0.0001191735,0.0001629601,0.001959807,0.06184992],"genre_scores_gemma":[0.938573,0.0004829265,0.0510265,0.0001921051,0.00006057085,0.00003612666,0.00003547916,0.00005180564,0.009541504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001721988,"threshold_uncertainty_score":0.00576061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873403816036931,"score_gpt":0.2391900395734369,"score_spread":0.2104560014130676,"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."}}