Latest Articles for Neural Network

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.

A look at HMIMO technology and its impact on wireless communication.

A method for better decision-making under uncertainty using innovative computational techniques.

This article explores a new approach to enhance neural networks using Diophantine equations.

New architecture improves safety and efficiency in blind handover processes.

Machines can now learn from fewer examples using innovative techniques.

A new model improves ship detection accuracy in SAR imagery.

Structured pruning enhances VPR efficiency in robots and devices by reducing resource usage.

Innovative approach utilizes deep learning to uncover characteristics of non-transiting planets.

A new method offers efficient solutions for integral equations using neural networks.

New methods combine neural networks and finite element techniques to improve fluid flow simulations.

Advancements in neural networks improve understanding of solar magnetic activity.

Machine learning enhances understanding of galaxy clusters and cosmology.

A study on using neural networks to prepare Schrödinger cat states efficiently.

A method to clarify how robots make choices to ensure safety.

A new method combines statistical techniques and machine learning for better wave height forecasts.

A method to improve efficiency in neural networks using in-memory computing.

A new coding language aims to improve neural network training performance.

A look at how symmetry breaking enhances neural network performance and efficiency.

SplatFields improves 3D imaging from limited camera views, boosting detail and quality.

A new method improves predictions of physical systems through advanced neural networks and Hamiltonian mechanics.

This article examines how cell networks behave and their implications for technology and biology.