Psychology Today

Attachment as Prediction, Development, and Mind Building

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...

Spatially explicit population model can improve pesticide risk assessments in agricultural landscapes

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...
diginomica

How Den Fælles Sterilcentral is using digital twins to streamline process collaboration and improvement

Den Fælles Sterilcentral CEO Thomas Bøgeskov explains how SAS helped them build a digital twin of a medical sterilization ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Digital Trends

You can now use Gemini’s Thinking model without worrying about Pro model limits

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...
Frontiers

Predictive effect of postoperative recovery in general anesthesia patients using interpretable models based on swarm intelligence machine learning

This study retrospectively collected data from 1,128 patients who underwent general anesthesia at Sir Run Run Shaw Hospital, affiliated with Zhejiang University School of Medicine, from January 2021 ...
Frontiers

Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification

A total of 46 variables were included in the final dataset, comprising demographic information, cardiovascular history, and laboratory measurements. These features included: gender, age, total ...