{"id":"W4224026682","doi":"10.1364/optica.446100","title":"Silicon microring synapses enable photonic deep learning beyond 9-bit precision","year":2022,"lang":"en","type":"article","venue":"Optica","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Queen's University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Photonics; Computer science; Artificial neural network; Crosstalk; Dither; Electronic engineering; Resonator; Artificial intelligence; Telecommunications; Optoelectronics; Materials science; Engineering; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188935,0.0001397249,0.0001688755,0.0000864961,0.0009674853,0.000232395,0.001000049,0.00003304456,0.0001366731],"category_scores_gemma":[0.00004337671,0.0001315594,0.00008724864,0.0004649402,0.00002373963,0.0002394694,0.001920661,0.000505099,0.000035695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007715222,"about_ca_system_score_gemma":0.00003392819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864292,"about_ca_topic_score_gemma":0.000002341339,"domain_scores_codex":[0.9983524,0.00013247,0.0002186896,0.0004809341,0.0003387353,0.0004767464],"domain_scores_gemma":[0.9991021,0.00026068,0.00009359289,0.0004129396,0.00003514443,0.00009552061],"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":[0.00003295629,0.00018627,0.0009441567,0.00004561422,0.00005236654,0.0002790712,0.00135271,0.7252814,0.06949095,0.01024614,0.001071031,0.1910173],"study_design_scores_gemma":[0.0002780652,0.0002915365,0.0001667303,0.00002812706,0.0000068079,0.0001130038,0.0001174398,0.9449999,0.009177976,0.001200946,0.04333202,0.0002874204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387782,0.002442304,0.03913538,0.0009383884,0.001455225,0.0003399959,6.955625e-7,0.0004600182,0.01644978],"genre_scores_gemma":[0.9834964,0.00004712037,0.01473777,0.0001753952,0.0001103011,0.00002315819,0.000002294752,0.00001667727,0.00139093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2197185,"threshold_uncertainty_score":0.7441213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627457965605946,"score_gpt":0.2181046913860217,"score_spread":0.2094772334204158,"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."}}