{"id":"W3158216587","doi":"10.3390/s21092984","title":"Quantization and Deployment of Deep Neural Networks on Microcontrollers","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Computer science; Microcontroller; Quantization (signal processing); Artificial neural network; Deep learning; Software deployment; MNIST database; Inference; Embedded system; Artificial intelligence; Computer engineering; Computer hardware; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003729301,0.00007594252,0.0001088718,0.00003005769,0.00006176095,0.00002223411,0.0001241708,0.00002837314,0.00000227227],"category_scores_gemma":[0.00001592746,0.00007351914,0.00002921374,0.0002832403,0.00002978499,0.00006523559,0.00006764443,0.00006640852,0.000002363933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163161,"about_ca_system_score_gemma":0.000005300279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001772369,"about_ca_topic_score_gemma":0.00001037853,"domain_scores_codex":[0.9993337,0.00004585107,0.0001458613,0.0002437203,0.00009337045,0.0001374363],"domain_scores_gemma":[0.999424,0.0001200316,0.0000718198,0.0002818331,0.00005493109,0.00004741203],"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":[0.00001261485,0.00004379978,0.0006273873,0.000005123505,0.00001351146,0.0000121926,0.000126905,0.8934321,0.00423327,0.02973306,0.00007159983,0.07168839],"study_design_scores_gemma":[0.0002587094,0.00002976626,0.001691018,0.000004901586,0.000004137769,0.00001251443,0.0000174597,0.9916874,0.005331961,0.0005549546,0.0003319241,0.00007532215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3756955,0.0003752355,0.621677,0.001591965,0.0001373787,0.0001816769,7.744064e-7,0.0000821154,0.0002583239],"genre_scores_gemma":[0.9876751,0.00006539341,0.01175901,0.0004053685,0.00003238557,0.000006513912,0.000002481715,0.000007161379,0.00004655612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6119797,"threshold_uncertainty_score":0.2998024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137228475476032,"score_gpt":0.242676252022297,"score_spread":0.2313039672675367,"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."}}