{"id":"W4405936838","doi":"10.1109/icm63406.2024.10815828","title":"Optimized Fixed Point MAC Unit for Neural Network on FPGA","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Field-programmable gate array; Computer science; Artificial neural network; Unit (ring theory); Computer network; Fixed-point arithmetic; Point (geometry); Computer hardware; Embedded system; Real-time computing; Floating point; Artificial intelligence; Operating system; Mathematics","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":[0.00008406581,0.0001336714,0.0001237729,0.0000546289,0.00002865639,0.00005045546,0.0001058932,0.00004001271,0.0001067898],"category_scores_gemma":[0.0000166432,0.0001187833,0.00006902889,0.0001319737,0.0000128094,0.000103307,0.00002342928,0.0001458087,0.00003622339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004016892,"about_ca_system_score_gemma":0.000004655134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002200803,"about_ca_topic_score_gemma":0.00000110165,"domain_scores_codex":[0.9994072,0.00000750406,0.0001276478,0.0001472122,0.00006069161,0.0002497627],"domain_scores_gemma":[0.9996077,0.0001419971,0.000005617839,0.0001902218,0.00001430378,0.00004009573],"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":[0.00002560289,0.00000505171,0.000004184069,0.00007605711,0.00003224679,0.0000133452,0.00003134886,0.8232317,0.0005797927,0.006914007,0.1449636,0.02412307],"study_design_scores_gemma":[0.0001865876,0.00004043328,0.000009224238,0.0000662846,0.0000110707,0.000005370848,0.000006378864,0.9132299,0.00853617,0.009831551,0.0678907,0.0001863495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009621065,0.0004265916,0.9738148,0.0006614731,0.0007185396,0.0003934665,0.00001058987,0.007159659,0.01585271],"genre_scores_gemma":[0.2638376,0.00005388051,0.7320272,0.0005389139,0.0004397473,0.0001801413,0.00002991481,0.0001545488,0.00273813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2628755,"threshold_uncertainty_score":0.4843843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948754991459236,"score_gpt":0.2775537137565767,"score_spread":0.2580661638419843,"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."}}