Latest Articles for Neural Network

A new model improves depression detection in social media posts with clear explanations.

An overview of how deep learning methods tackle differential equations.

A new method to compute proximal operators without sorting data for optimization.

A new model improves predictions of protein interactions and drug resistance.

A new simulator evolves agents capable of culture and reasoning.

Neural networks enhance solutions for complex partial differential equations.

This article explores how visual features influence our decision-making.

A new approach to enhance neural network performance using erasure coding techniques.

This article examines how intrinsic dimension influences neural network performance across image types.

Examining new methods to enhance neural network efficiency and security.

Using neural networks to improve the design of 3D-printed shells for better performance.

Cells react to changes using transcription factors for survival.

deepSpecas aids researchers in identifying alternative splicing events from RNA-Seq data with high accuracy.

A new approach enhances predictions of dynamic systems by incorporating memory.

Discover how the new SwinNPE framework improves image compression without losing quality.

Exploring how hyperbolic geometry can enhance artificial intelligence and understanding of the brain.

A new network improves image recognition using human visual system principles.

Innovative method combines machine learning and physics for solving differential equations.

AI and mechanical simulation enhance architectural design speed and safety.

How neural networks improve parameter estimation in spatial models.

Exploring the limits of prediction in chaotic systems and their implications.

New methods enhance speed and accuracy in simulating deformable objects.

Research shows EEG data can help artificial neural networks resist adversarial attacks.

New methods for solving stochastic control problems without derivatives using neural networks.

Research investigates heavy Higgs bosons through high-energy proton collisions.

Machine learning is transforming how we study hadronization in high-energy physics.

Using machine learning, simulations of the Earth's mantle can achieve steady states more efficiently.

Using neural networks to enhance variational Monte Carlo in quantum systems.

Using neural networks to identify damage in thin aluminum plates for safer structures.

This article discusses deep learning methods for solving optimal stopping problems in financial options.

This study evaluates neural networks for replicating spring reverb characteristics.

Research reveals crucial details about matter distribution in the universe using weak lensing data.

A look at Adaptative Context Normalization in deep learning for image processing.

Exploring new techniques for efficient image compression through neural network models.

This article discusses new methods for efficient data analysis using Bayesian techniques.

A novel approach makes it easier for artists to simulate fungal growth.

Scientists use neural networks for a deeper look into galaxy data.

New dataset boosts accuracy for helmet-mounted systems in various environments.

New model enhances guide RNA predictions for CRISPR applications.

New methods boost accuracy in handwriting recognition through Relaxation Labelling integration.