As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

Recently, spoken language models (SLMs) have been highlighted as next-generation technology that surpasses the limitations of ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn the optimal ...

Cherrilearn and CodeCraft offer free digital learning to 1,000 Kannada medium students in rural Karnataka. Initiative aims to reach 1 lakh learners in 2024–25 ...

Alan Cheng, high school superintendent for New York City Public Schools, leads a portfolio of 50 innovative schools—including those in the Internationals Network for Public Schools, the New York ...

Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we propose an SAF ...

Israel launched its missile barrage on Iran this week because the theocratic regime was on the brink of building a crude nuclear device, experts said.