Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data Nature
State of AI 25, energy consumption: why AI is not an issue but grid is | by Andrea Isoni | May, 2025 DataDrivenInvestor
Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches Nature
Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition Nature
A new deep learning-based fast transcoding for internet of things applications Nature
Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials Nature
Search for Stable and Low-Energy Ce–Co–Cu Ternary Compounds Using Machine Learning ACS Publications
Search for Stable and Low-Energy Ce–Co–Cu Ternary Compounds Using Machine Learning ACS Publications
Multimodal anomaly detection in complex environments using video and audio fusion Nature
Observable-augmented manifold learning for multi-source turbulent flow data Cambridge University Press & Assessment
