A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Many existing methods for exploring the link between neural activity and behavior rely on the analysis of static images and brain ... their RNN-based model using a four-step optimization algorithm.

A DPP-based NSP representation and actionable NSP discovery method, EINSP, introduces novel and significant contributions to NSA and sequence analysis: 1) it represents NSPs by a determinantal point ...

This article investigates the design and stability analysis of the interval type-2 (IT2) sampled-data (SD) fuzzy-model-based (FMB) control system with the optimal guaranteed cost performance. An IT2 ...

The book presents a thorough development of the basic family, arguably the most fundamental family of iteration functions, deriving many surprising and novel theoretical and practical applications ...

Stepwise regression was used to identify clinically relevant factors, including quantitative EAT and left atrial (LA)-EAT measurements (model 1). The random forest algorithm was used to select the ...