AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Tech Times

NVIDIA AI Trained Itself on a 30B Model: Corrected Its Own Broken Metric Mid-Run

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Scientists observe water switching between 2 different molecular structures, boosting decades-old theory

For decades, scientists suspected water secretly behaves like two different liquids. A new AI-powered study has finally ...
Insurance Business America

Inside the AI modeling race reshaping catastrophe risk

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

Forget an AI data centre — P.E.I. should focus on boosting Islanders' skills, expert says

An artificial intelligence expert says building an AI data centre should not be P.E.I.’s priority; instead, the province ...
European Medical Journal

Food Inflammation Scores Predict Stroke Risk

FOOD inflammation scores may offer a clinically useful window into stroke risk, according to a large analysis of 19,681 ...
IEEE

Follow the Forest Trail: Distillation by Gradient Boosting Models to Enhance Symbolic Regression Performance

Abstract: In recent years, Machine Learning (ML) models have been introduced across diverse scientific fields, due to their strong predictive performance. However, in many applications the demand for ...
Scientific Research Publishing

Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Scientific Research Publishing

Friedman, J.H. (2001) Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
blockchain

Boosting Model Training with CUDA-X: An In-Depth Look at GPU Acceleration

Explore how CUDA-X Data Science accelerates model training using GPU-optimized libraries, enhancing performance and efficiency in manufacturing data science. CUDA-X Data Science has emerged as a ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...