AI algorithm enables tracking of brainstem's vital white matter pathways

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Gemini 3 Agentic Vision Proves Image Analysis Needs Reasoning Not Guesswork

Gemini Agentic Vision extracts image elements and normalizes bar charts for clear comparisons, helping you explain complex ...
IEEE

Low-complex Fast-acquisition Algorithm and Analysis for Broadband LEO DSSS System

Abstract: In recent years, the applications of broadband direct sequence spread spectrum (DSSS) communications based on low earth orbit (LEO) satellites have become increasingly widespread. The high ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Frontiers

Editorial: Optimization for low-rank data analysis: theory, algorithms and applications

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...