Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data.

The achieved performance (accuracy, precision, recall) is evaluated and compared to that of other machine learning approaches, such as neural networks using the same dataset. The study concludes with ...

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.

Introduction Diabetes is a chronic disease that affects millions worldwide. Early detection is crucial for effective management. With the rise of data-driven approaches, machine learning models can ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

Welcome to the Real-Time Stock Price Prediction and Market Analysis repository! This project focuses on predicting stock prices using advanced machine learning techniques. We utilize Long Short-Term ...