Medical News Today

AI model may identify high-risk patients for post-transplant complications

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Evolving Systems Launches AIQ: Powering Smarter Churn Prediction and Personalized Offers for Telecoms

MANCHESTER, UNITED KINGDOM, February 11, 2026 /EINPresswire.com/ — Evolving Systems has launched Artificial Intelligence Quotient (AIQ), a cutting-edge AI platform that transforms telecom subscriber ...

Runner AI Launches the First Self-Optimizing Ecommerce Engine

SAN FRANCISCO, CA - January 29, 2026 - PRESSADVANTAGE - Runner AI today unveiled the industry’s first AI-native ...

Ethical Acceleration: Deploying Generative AI, ML Responsibly at Enterprise Scale

When orchestrated together, ML delivers precision and consistency, while generative AI enhances accessibility and adaptability. This dual-engine architecture allows organisations to move from isolated ...
Semiconductor Engineering

Catching Critical Defects In TSVs And Stacked Chips

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
The New York Times

Jewelry’s Stacking Trend Is Sticking Around

More people are wondering: Why wear just one ring when five will fit? By Ginanne Brownell There may be few things that the British royal sisters-in-law have in common, but Catherine, Princess of Wales ...
C&EN

Simulation of Core Flooding with Predicted Oil and Water Relative Permeabilities Using Bagging, Boosting, and Stacking Machine Learning Techniques

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite global efforts to transition from fossil fuels to ...
IEEE

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...