Latest Articles for Machine Learning

This article examines how data preparation affects machine learning in cybersecurity.

Study develops models to predict software bugs in real-time for complex systems.

Using machine learning to enhance the interpretability of molecular simulations.

Federated learning enhances medical imaging while protecting patient data.

A framework to identify misleading videos using traffic patterns.

Research shows high-frequency oscillations can improve surgery outcomes for epilepsy.

Combining human insights and AI for energy-efficient machine learning practices.

HERMES predicts the impact of protein mutations on stability and function using 3D structures.

Siamese-PTM enhances patient recruitment for clinical trials using deep learning.

A new method using diffusion models improves chip placement efficiency and effectiveness.

ClaimCompare helps identify related patents affecting invention uniqueness.

Machine learning enhances prediction of activity coefficients in chemical mixtures.

Data and machine learning are transforming how scientists find new materials.

Bayesian neural networks enhance material behavior predictions with uncertainty estimates.

A machine learning approach offers faster, more accurate climate predictions.

Study uses machine learning to analyze Moon's unusual light patterns and chemical elements.

New tool SAFAARI improves accuracy in single-cell annotation and data integration.

A fresh approach combining AI and quantum techniques aims to streamline protein design.

Exploring the integration of quantum computing into machine learning for improved performance.

Recent machine learning techniques improve tracking in high-energy physics experiments.

New methods improve identification and analysis of tau leptons in particle physics.

New methods in antibody development enhance treatments for infections and diseases.

Researchers enhance metric approximations on Calabi-Yau manifolds using machine learning techniques.

AI is changing how cardiac surgery is performed, improving patient outcomes.

A new framework estimates how deep learning models perform on various GPUs.

AROhI simplifies ROI evaluation for data analytics investments.

Research introduces Top-ML for better anticancer peptide prediction using topological features.

Euclid seeks to unveil the mysteries of dark energy and dark matter.

New methods improve predictions for insurance claims by addressing zero-inflation issues.

An overview of key issues in designing specialized computing hardware.

Using GNNs to predict optical properties of materials improves device design.

Using health data to identify children at risk for Autism Spectrum Disorder.

Combatting misleading information through new methods and technologies.

Introducing a user-friendly library for efficient molecular fingerprint computation.

A machine learning method predicts fluid flow stability for better designs and processes.

A fresh approach to understanding the origins of gamma-ray bursts using machine learning.

This method predicts quantum states efficiently using quantum circuits.

A study improves heart rate estimation and murmur detection using recordings.

The MIParT model enhances jet tagging accuracy and efficiency in particle physics.

Scientists use machine learning to improve antibody design for medical treatments.