{"id":"W2785784536","doi":"10.1109/iedm.2017.8268341","title":"Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; Canadian Institute for Advanced Research","keywords":"Neuromorphic engineering; Computer science; Bottleneck; Computer hardware; MNIST database; Flash memory; Parallel computing; Artificial neural network; Algorithm; Artificial intelligence; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002416227,0.000208859,0.0002068384,0.0001343807,0.0001339198,0.0004139431,0.001004749,0.0002671775,0.001076118],"category_scores_gemma":[0.0007175472,0.0001296805,0.0001096538,0.0001477463,0.0001806758,0.0007600004,0.0002612145,0.0001812404,0.0003267664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395955,"about_ca_system_score_gemma":0.0003335878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006502926,"about_ca_topic_score_gemma":0.001319261,"domain_scores_codex":[0.9998627,0.00001327083,0.00001066036,0.00002825973,0.0000691015,0.00001609031],"domain_scores_gemma":[0.9997465,0.00005783219,0.00003894236,0.00003997286,0.0001015765,0.0000151403],"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":[0.0001828451,0.0000875799,0.001444819,0.0002608158,0.00004319593,0.0002741377,0.00008032447,0.01531279,0.8946763,0.003192375,0.001429738,0.08301511],"study_design_scores_gemma":[0.00002930161,0.0005067234,0.001263608,0.00002002072,0.00003887397,0.0002606432,0.0000407348,0.1217235,0.8677686,0.0009185018,0.007409265,0.00002022746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7161646,0.001335556,0.269417,0.0004996959,0.0002161512,0.0001738234,0.0005146319,0.002031741,0.009646629],"genre_scores_gemma":[0.89544,0.0002712954,0.09934243,0.0001270188,0.00001422982,0.00009607436,0.0001902042,0.00006003048,0.004458743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076118,"threshold_uncertainty_score":0.003600001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190262939632871,"score_gpt":0.2275140688127788,"score_spread":0.1956114394164501,"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."}}