{"id":"W4386214509","doi":"10.1109/iscc58397.2023.10218294","title":"Poster: Conceptual Design for FPGA Based Artifical Intelligence Model for HIL Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Field-programmable gate array; Computer science; Latency (audio); Automotive industry; Embedded system; Replicate; Computer architecture; Artificial neural network; Hardware-in-the-loop simulation; 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":[0.0001347293,0.0003814266,0.0002372282,0.0002629002,0.0002935542,0.0006411793,0.001050408,0.0005724715,0.01497252],"category_scores_gemma":[0.0001930355,0.000163823,0.000346001,0.0001453041,0.0002412608,0.0004532998,0.000319643,0.0004352736,0.003445243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093586,"about_ca_system_score_gemma":0.0005078737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109801,"about_ca_topic_score_gemma":0.001190767,"domain_scores_codex":[0.9999065,0.00001326477,0.000005257824,0.00001987642,0.00004528987,0.000009745545],"domain_scores_gemma":[0.999916,0.00001074499,0.000007759385,0.0000150768,0.00004099421,0.000009423878],"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":[0.0004448283,0.0001632461,0.002531822,0.001031394,0.0001179443,0.0009894287,0.0002744533,0.4671312,0.1630729,0.1196813,0.02273074,0.2218308],"study_design_scores_gemma":[0.00005994468,0.0004059642,0.0009898992,0.00008038968,0.00005683632,0.0005728599,0.00005086104,0.811149,0.05720574,0.008383629,0.1210035,0.00004139286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01583469,0.0004505577,0.9299054,0.0005169548,0.0004078046,0.0002604412,0.0004708842,0.002852196,0.04930102],"genre_scores_gemma":[0.6460976,0.0006458536,0.3057323,0.0002773989,0.00008593205,0.0005668092,0.0009638505,0.0002993322,0.04533088],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01497252,"threshold_uncertainty_score":0.05008805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091988913920263,"score_gpt":0.2903573891520059,"score_spread":0.1983684752317429,"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."}}