StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...

DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data-centric tasks without human intervention ...

Queen’s University Belfast has been making a difference to societies locally, nationally and internationally since 1845. We focus on shaping the world around us through our innovative, impactful and ...

This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...

Every country produces data, but not every country produces it in an organized manner. What matters is not just the volume of data, but how it’s standardized and structured. The messiest or most data ...

Cardiac and vascular complications are the leading causes of maternal mortality and morbidity, but the contemporary burden of and secular trends in pregnancy-related cardiovascular complications are ...

Malware isn’t just trying to hide anymore—it’s trying to belong. We’re seeing code that talks like us, logs like us, even documents itself like a helpful teammate. Some threats now look more like ...

As the integration of Large Language Models (LLMs) into scientific R&D accelerates, the associated privacy risks become increasingly critical. Scientific NoSQL repositories, which often store ...

Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE. U.K. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science ...

Machine learning has the potential to provide tremendous value to life sciences by providing models that aid in the discovery of new molecules and reduce the time for new products to come to market.

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...