Topic
active learning
Artificial Intelligence #ai#active learning
AI Pace-Mapping System Uses Continual Learning to Cut Pacing Sites by 67% for Ventricular Tachycardia
Researchers introduced cAPM, a continuous AI-assisted pace-mapping system for ventricular tachycardia ablation. Using a surrogate neural network, active learning, and continual learning, cAPM reduced required pacing sites from 13.7 to 4.5 while improving localization probability from 38% to 81% within 5 mm accuracy, compared to the state-of-the-art active-learning method.
Jun 20, 2026 1 source
Software #mergesort#human-in-the-loop
Surprise-Guided MergeSort Reduces Human Ranking Costs by Using AI to Prioritise Comparisons
Researchers propose Surprise-Guided MergeSort (SGS), a framework that combines a Vision-Language Model with MergeSort to schedule pairwise comparisons for subjective ranking tasks. SGS routes only ambiguous comparisons to humans, achieving Kendall's τ×100 improvements of +6 to +12 over Active Elo under the same budget.
Jun 16, 2026 1 source