Latest Articles for Neural Network

This study uses computational methods to analyze running titles in historical texts.

A look at planning frameworks that balance safety and effectiveness in complex environments.

New technology combines quantum computing and AI for improved diagnosis of diabetic retinopathy.

Integrating deep learning enhances seismic imaging accuracy and efficiency.

This study reveals how synapses change strength and their role in learning and memory.

A new approach enhances turbulent flow simulations using machine learning techniques.

New methods leverage vector symbolic architectures for efficient neural network programming.

A new system enhances the speed of detecting gravitational waves.

A novel method to solve the BGK model using neural networks.

New methods improve imaging of cellular dynamics with high precision.

Recent research challenges the simplicity of the Knowledge Neuron Thesis in language models.

Exploring how machine learning enhances turbulence modeling for better predictions.

Exploring specialized neurons designed for specific tasks in artificial networks.

A new method improves safety in high-dimensional reachability for autonomous vehicles.

Exploring the importance of softmax in neural network performance and applications.

This article examines how neural networks predict sound behavior in ducts.

A novel method for estimating virtual FFR using deep learning techniques.

This article discusses the importance and challenges of out-of-distribution detection in machine learning.

DeepJSCC improves image quality in relay networks, integrating transmission with deep learning.

New methods improve matrix completion accuracy and efficiency across various fields.

New method enhances feature extraction for diagnosing bearing faults in machinery.

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.