{"id":"W4300816793","doi":"10.1117/12.2633916","title":"Photonic tensor core for machine learning: a review","year":2022,"lang":"en","type":"review","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Scalability; Computer science; Photonics; Computer architecture; Bandwidth (computing); Electronic circuit; Multi-core processor; Photonic integrated circuit; Latency (audio); Limit (mathematics); Embedded system; Telecommunications; Electrical engineering; Engineering; Parallel computing; Physics","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":[0.0006245289,0.0008930988,0.000897495,0.002143882,0.0003294371,0.0009667359,0.00091058,0.001184121,0.004960746],"category_scores_gemma":[0.001016002,0.0004738426,0.000534647,0.00222191,0.0004900558,0.001911156,0.0008172386,0.001634435,0.00270311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702084,"about_ca_system_score_gemma":0.001013622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008748915,"about_ca_topic_score_gemma":0.001225081,"domain_scores_codex":[0.9998518,0.00002509386,0.00001769285,0.00003198965,0.00005489854,0.00001848718],"domain_scores_gemma":[0.9994992,0.0002794977,0.00004877481,0.00001961736,0.0001182238,0.00003469296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005047164,0.000101002,0.000205056,0.01788678,0.00009071978,0.0001558552,0.00005232857,0.001076597,0.00202837,0.01777283,0.04316095,0.9174191],"study_design_scores_gemma":[0.00001039164,0.0001118373,0.0003424557,0.003223031,0.00008113149,0.0006415116,0.00002889562,0.0005125238,0.001023695,0.005825454,0.9881687,0.00003053051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001643243,0.9965273,0.0007527488,0.0003670046,0.000309191,0.000005884629,0.00002164761,0.00001531622,0.001836634],"genre_scores_gemma":[0.001222623,0.9968599,0.0006085373,0.0002286782,0.0003331124,0.00001009445,0.00003048752,0.000004778565,0.0007016704],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004960746,"threshold_uncertainty_score":0.01659536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1465184795659677,"score_gpt":0.3582927509244441,"score_spread":0.2117742713584764,"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."}}