{"id":"W4402969751","doi":"10.1117/12.3031655","title":"Hardware accelerators for AI-based video enhancement and optimization in video ASICs for data center","year":2024,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BlueDot (Canada)","funders":"","keywords":"Computer science; Application-specific integrated circuit; Data center; Center (category theory); Computer hardware; Embedded system; Operating system","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":[0.0002215807,0.000279921,0.0002026055,0.0002558398,0.0002699876,0.0005358283,0.0006852634,0.0002151132,0.004931394],"category_scores_gemma":[0.0004801396,0.0001463006,0.0001699123,0.0003185998,0.000165682,0.0004747543,0.0002345709,0.0005417611,0.000724795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006830791,"about_ca_system_score_gemma":0.0007232657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575713,"about_ca_topic_score_gemma":0.002714081,"domain_scores_codex":[0.9998722,0.00001559871,0.000008027392,0.00001723996,0.00006918405,0.00001776365],"domain_scores_gemma":[0.9997808,0.00005245222,0.00003112071,0.00002172607,0.00009623457,0.00001773602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008351073,0.0002616462,0.002763307,0.0005508177,0.0001136853,0.000299411,0.0002355058,0.1593698,0.3206642,0.07410695,0.02329065,0.4175089],"study_design_scores_gemma":[0.00008109305,0.000468824,0.001231557,0.00005308398,0.00004541045,0.0002135552,0.00006788889,0.8285652,0.1166899,0.006251085,0.04629656,0.0000358075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06541187,0.00130663,0.9119066,0.0006077443,0.0002404364,0.0001533439,0.0001506042,0.002901529,0.01732131],"genre_scores_gemma":[0.6082091,0.0007474541,0.3762236,0.0003257174,0.00007545434,0.0001332854,0.000246638,0.0001465417,0.01389223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004931394,"threshold_uncertainty_score":0.01649714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706363889464431,"score_gpt":0.277971956315637,"score_spread":0.2509083174209927,"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."}}