Nature

How to build an AI Scientist: first peer-reviewed paper spills the secrets

AI Scientist, an autonomous research tool, first released in 2024, has now undergone peer review, highlighting its strengths ...

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Nature

Major conference catches illicit AI use — and rejects hundreds of papers

A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
IEEE

Machine Learning based Controller using Gaussian Process Regression in Electric Motors: Interpretability, Safety and Reliability

Abstract: In industrial applications, proportional-integral (PI) controllers are frequently employed for controlling permanent magnet synchronous motors (PMSMs) due to their fast response rate and ...
IEEE

Machine Learning Model Mapped Permafrost Distribution in Northeast China During 2000–2020

Abstract: Permafrost, a major component of the cryosphere, is undergoing rapid degradation due to climate change, human activities, and other external disturbances, profoundly impacting ecosystems, ...
The Lancet

Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning study

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...