{"id":"W4308480940","doi":"10.1109/jstqe.2022.3211453","title":"Scalable Networks of Neuromorphic Photonic Integrated Circuits","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Quantum Electronics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Queen's University","funders":"Office of Naval Research","keywords":"Photonics; Computer science; Neuromorphic engineering; Scalability; Network topology; Artificial neural network; Photonic integrated circuit; Interconnection; Silicon photonics; Electronic engineering; Computer network; Materials science; Optoelectronics; Artificial intelligence; Engineering","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":[0.0002034144,0.0002256862,0.0002575486,0.0002422157,0.0002192131,0.0005082572,0.0007292559,0.0003702327,0.002603247],"category_scores_gemma":[0.0006408246,0.0002054264,0.0001986102,0.000242694,0.0003817002,0.001011549,0.0006672309,0.0005021036,0.0003632099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546387,"about_ca_system_score_gemma":0.0003067033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004524417,"about_ca_topic_score_gemma":0.0008470365,"domain_scores_codex":[0.9998513,0.00003017955,0.000006976356,0.00003736677,0.00005314577,0.0000208421],"domain_scores_gemma":[0.9998393,0.00005340175,0.00002014122,0.00003151846,0.00004090657,0.00001467339],"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":[0.0002380372,0.0001571909,0.0009895284,0.000447852,0.0001443381,0.0004469963,0.0001430302,0.2854036,0.3167086,0.1929817,0.007572255,0.1947667],"study_design_scores_gemma":[0.00002426828,0.0001354285,0.0005191456,0.00002175461,0.00002447855,0.0001382312,0.00003900657,0.8943302,0.03924749,0.05197657,0.01352549,0.00001786384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2562879,0.002898143,0.6969411,0.001323493,0.0004778936,0.0001089505,0.0002561178,0.002725299,0.03898118],"genre_scores_gemma":[0.8951309,0.0009003778,0.09663495,0.000166395,0.00007458782,0.0001217491,0.0001535246,0.00006019736,0.006757368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002603247,"threshold_uncertainty_score":0.008708656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813632525642012,"score_gpt":0.2288216653788258,"score_spread":0.2106853401224057,"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."}}