{"id":"W4394725346","doi":"10.1016/j.aeue.2024.155284","title":"Process-in-Memory realized by nonvolatile Task-Scheduling and Resource-Sharing XNOR-Net hardware Accelerator architectures","year":2024,"lang":"en","type":"article","venue":"AEU - International Journal of Electronics and Communications","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"XNOR gate; Computer science; Embedded system; Scheduling (production processes); Task (project management); Non-volatile memory; Process (computing); Computer hardware; Computer architecture; Operating system; Logic gate; Engineering; Systems engineering; NAND gate","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":[0.0004713105,0.0001133671,0.0001591321,0.0002806197,0.000129291,0.0004540448,0.001532373,0.00005078665,0.000003549012],"category_scores_gemma":[0.00006174699,0.0001054678,0.00004683029,0.0002234763,0.00005181139,0.0002712571,0.0004116026,0.0004927054,4.871588e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006925401,"about_ca_system_score_gemma":0.0001478743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886437,"about_ca_topic_score_gemma":0.00002107896,"domain_scores_codex":[0.9989448,0.00006921663,0.0003988984,0.0001936915,0.0002333927,0.0001600169],"domain_scores_gemma":[0.9990305,0.0001917176,0.0001739627,0.000340623,0.0001978049,0.00006537345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003194291,0.001192139,0.009253014,0.0003093182,0.001739005,0.0001553963,0.03628753,0.059684,0.01229033,0.3689322,0.01033032,0.4995074],"study_design_scores_gemma":[0.0005901935,0.0001593572,0.0003784392,0.0004444158,0.00001890993,0.0002576215,0.0001741244,0.9392352,0.001397168,0.03221418,0.02486019,0.00027022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.459139,0.09561115,0.4225248,0.01805249,0.0002755711,0.0003366482,0.00002641453,0.000326521,0.003707353],"genre_scores_gemma":[0.9715592,0.003641163,0.02446779,0.0002025116,0.00004521504,0.000008212866,0.00001380347,0.00001121545,0.0000509346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8795512,"threshold_uncertainty_score":0.4378365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440096880385318,"score_gpt":0.303253514703184,"score_spread":0.2888525458993308,"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."}}