Latest Articles for Neural Network

A new method enhances visibility calculations for AI in games.

Exploring PETScML's impact on scientific machine learning through second-order methods.

RoTHP improves predictions in event modeling through rotary position encoding.

A study on predicting composite material behavior using advanced neural networks.

A new approach combines machine learning and physics for better material analysis.

Using neural networks to efficiently solve complex partial differential equations.

A new method enhances data handling in AI applications, focusing on feature extraction.

A method that improves approximation of mathematical models using neural networks and finite elements.

Rawformer transforms camera images without needing paired data, enhancing photography.

Study reveals the benefits of deep learning in seismic analysis.

Combining energy flow models and neural networks for better predictions.

Deep learning enhances MRI scans, improving speed and image quality for better diagnosis.

A new method enhances detection of unusual data in machine learning models.

Researchers use deep learning to classify unique serotonergic neurons in the brain.

A look into how compositionality connects language, thought, and AI.

A new method accelerates finding valuable items in large datasets.

CoNHD enhances hypergraph modeling for complex relationships with edge-dependent classification.

This study explores using AI methods to predict how materials crack over time.

Learn about sound localization techniques and their uses in various fields.

Investigating scalar particles decaying into Higgs bosons through high-energy collisions.

New methods improve texture compression for graphics efficiency and quality.

A new approach combines machine learning and physical models for better molecular simulations.

A novel approach improves probabilistic forecasting for managing power systems.

Exploring advancements in understanding dark matter through gravitational lensing techniques.

This article highlights the importance of updating code comments for clarity.

Discover how machine learning reshapes material behavior modeling.

New methods improve stability of control systems under uncertain conditions.

A novel approach to managing interconnected nonlinear systems for improved stability and performance.

A new method shows promise in accurately measuring fluid movement in complex systems.

A new algorithm improves the verification of neural networks for reliability and fairness.

WeiPer improves out-of-distribution detection in machine learning models using weight adjustments.

This paper presents L-HiTS, a method for simulating complex systems using deep learning.

Explores the link between discrete control systems and deep learning techniques.

A new approach enhances understanding of student behaviors in MOOCs.

A new method enhances the reliability of neural networks in critical applications.

A look at simulation-based inference and its applications in research.

A new method for continual learning in AI systems enhancing retention of knowledge.

A new method uses neural networks to enhance galaxy power spectrum data analysis.

A new way to simulate structural behavior using machine learning techniques.

NEST uses neural networks to improve psychometric testing in vision studies.