Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the ...
A sociotechnical lens highlights red-teaming as a particular arrangement of human labor that unavoidably introduces human value judgments into technical systems, and can pose psychological risks for ...
The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...
Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...
Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial first step ...
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