Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

Abstract: A DW is needed to efficiently and continuously prepare data for practical real-time data analysis and forecasting with machine learning (ML) algorithms. This paper discusses extraction, ...

A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine ...

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter ...

Until recently, AI's role in research felt like having a useful assistant. It could summarize a paper, clean up a dataset or ...

Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...

Results: Integration of active and passive data outperformed single-modality models, achieving mean balanced accuracies of 0.71 for SDQ-high risk, 0.67 for insomnia, 0.77 for suicidal ideation, and ...