Latest Articles for Machine Learning

AI and ML transform how students are assessed in science education.

Innovative methods could reshape how we analyze and apply biological data.

A new machine learning method improves particle event analysis in high-energy physics.

A new method improves protein engineering by linking sequence data with functionality.

Examining the role of AI in agriculture, autonomous systems, and healthcare.

Researchers use machine learning for efficient parton distribution function calculations.

Researchers enhance measurements of bright stars using deep neural networks.

New machine learning methods enhance photon state analysis for quantum technologies.

This study examines pulsars and their significance in understanding neutron stars.

Research sheds light on how fractures form in brittle materials at a microscopic level.

Machine learning improves identification of cosmic ray isotopes for space research.

Exploring the role of GNNs in the growth of IoT technologies.

Using machine learning to forecast lateral spreading risks from earthquakes.

This article examines how Machine Learning estimates treatment effects in ant behavior studies.

A look at the importance and methods of estimating water table depth.

This study evaluates machine learning methods for accurately measuring poverty levels.

Discover how machine learning enhances gel electrophoresis for biomolecule analysis.

Examining the potential of ML models in predicting extreme weather events.

A new method improves predictions for solar heat production using machine learning.

AI models enhance predictions in fluid dynamics, improving accuracy across various applications.

A look at integrability in physics and the role of machine learning.

This study explores how machine learning can predict lung function changes in SSc-ILD.

Researchers unveil a safer technique to measure cell membrane potential accurately.

Machine learning techniques improve data analysis in particle physics experiments.

Exploring how quantum computing influences machine learning techniques.

Dynamic Line Rating optimizes power line capacity using local weather data.

Research reveals the role of giant radio galaxies in cosmic magnetism.

A novel approach simulates how molecules interact with light using machine learning.

Using machine learning to distinguish star origins in the Milky Way.

Research unveils detailed imaging of mouse tissues during early growth stages.

Federated and transfer learning enhance efficiency and accuracy in cancer detection.

Machine learning improves the speed and accuracy of identifying plant diseases.

A new method predicts FSO link issues using RF signals for seamless satellite communication.

A project investigating dark matter models and their effects on galaxy development.

A look at AIMC and DIMC for machine learning tasks.

Examining quantum algorithms for matrix geometric means in machine learning and quantum information.

Research explores the use of T1-weighted MRI in identifying ALS more accurately.

Artificial intelligence improves predictions for nanomaterial shapes and sizes.

Scientists reveal how tiny particles form unique structures through careful design.

Morphometrics studies shapes and sizes of organisms to understand evolution.