A multimodal AI model may improve recurrence risk stratification in early breast cancer

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...

TPK Trading Unveils Enhanced AI Performance Layer as Digital Markets Demand Higher Execution Precision

According to TPK Trading, the new performance layer incorporates multi-route analysis, synchronized data harmonization, adaptive recalibration tools, and continuous integrity monitoring to ensure that ...
IEEE

AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation

Abstract: Remote sensing images semantic segmentation is typically challenging due to the complexity of land cover information. Existing convolutional neural network (CNN)-based models lack the ...

ScandIndex Advances Real-Time Computational Framework as Digital Markets Demand Faster Automated Decisioning

According to ScandIndex , the upgraded engine integrates multi-threaded evaluation, adaptive recalibration tools, and ...
Psychology Today

The Bilingual Brain: Translation as Adaptation

Bilingual brains reveal something fundamental about human intelligence. It's not about language. It's about domain ...
EurekAlert!

A smarter way for large language models to think about hard problems

MIT researchers developed a smarter way for an LLM to allocate computation while it reasons about a problem. Their method lets the model dynamically adjust its computational budget based on the ...
IEEE

A Self-Triggered Adaptive Dynamic Programming Scheme for Unknown Nonlinear Systems by Iterative Model Predictive Process

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...