Tuning Trumps Technique: Hyperparameters Decide Whether AI Gets Causality Right
A large-scale empirical study shows that hyperparameter tuning, not the choice of algorithm, is the dominant factor in whether machine ...
A large-scale empirical study shows that hyperparameter tuning, not the choice of algorithm, is the dominant factor in whether machine ...
A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified baselines have inflated claims ...
Researchers at Sichuan University have developed a clinically driven framework that aligns orthodontic X-rays with facial photographs using weighted keypoint ...
Researchers trained three U-Net models to segment bone ingrowth in micro-CT scaffold images and found that standard segmentation metrics can ...
A new systematic survey of 106 studies maps how conversational AI evolved from rule-based scripts to retrieval-augmented generation, revealing the ...
A new benchmark called MathEval unifies 22 mathematical datasets and uses annually refreshed Gaokao exam problems to measure large language ...
A sweeping new review in Vicinagearth charts the rise of multi-dimensional classification, the machine learning paradigm that labels objects along ...
Researchers have built an epidemiology-guided machine learning framework that injects SEIR-simulated outbreaks into real Swedish symptom surveillance data to honestly ...
A new survey in Artificial Intelligence Review maps the state of multimodal video diffusion models, reporting up to 523-fold computational ...
A new survey argues that data, not model architecture, is the decisive factor in the success of natural language to ...
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© 2025 Scienmag - Science Magazine