{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881256,0.00009922607,0.0001325421,0.00008022016,0.00006206585,0.00004160773,0.0001063609,0.00006615002,0.00003238912],"category_scores_gemma":[0.00002447239,0.00009341914,0.00008378681,0.0001724223,0.00002120176,0.00006310705,0.000005151733,0.00003237603,0.0001452041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002596595,"about_ca_system_score_gemma":0.00002367413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001380295,"about_ca_topic_score_gemma":0.000002122421,"domain_scores_codex":[0.9992937,0.00001073858,0.0002515765,0.0001575507,0.00008047337,0.0002059499],"domain_scores_gemma":[0.9992366,0.0004240729,0.00001804017,0.0001770263,0.00007336827,0.00007082678],"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":[0.0000187093,0.000007627993,0.000001802458,0.0000255427,0.0000115747,5.127226e-8,0.00007713569,0.9774005,0.002003103,0.008882062,0.003489908,0.00808192],"study_design_scores_gemma":[0.0002791813,0.00002278976,0.00000337406,0.000004363228,0.000009287095,1.785514e-7,0.00008216818,0.9880496,0.003861852,0.001429473,0.006140737,0.0001170407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001834372,0.00002020719,0.9960151,0.0001757163,0.00007037602,0.001654989,0.00004111416,0.0006836174,0.001155469],"genre_scores_gemma":[0.9865091,0.000001716365,0.008856733,0.00009672029,0.0000761514,0.002328681,0.00007041787,0.00003202651,0.002028393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9871584,"threshold_uncertainty_score":0.3809522,"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."}}