New spin on speculative decoding works with any model - now built into Transformers We all know that AI is expensive, but a ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Development of an autoencoder-based algorithm for fault detection in rotary machines is presented in this paper. As the cornerstone of any machine learning model, feature engineering is thoroughly ...

Supervised machine learning is often used to detect phishing websites. However, the scarcity of phishing data for training purposes limits the classifier's performance. Further, machine learning ...

Background Accurate pre-ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access ...

Traditional diagnostic methods have shortcomings in accuracy and robustness. Therefore, the study integrates variational autoencoders with long short-term memory network models, enhances them using ...