Latest Articles for Neural Network

New techniques leverage deep learning for timely wildfire detection and response.

Advancements in molecule generation using new computational methods are reshaping drug discovery.

Discover how Contrastive Learning aids astronomical data analysis.

Introducing a novel approach to counterfactual reasoning using observational data and quantile regression.

QNNRepair improves the accuracy of neural networks after quantization.

New neural network model tackles challenges in analyzing dependent data.

Research reveals hidden risks within machine learning models through steganography.

A new method uses neural networks to solve PDEs efficiently while preserving physical laws.

A new system enhances communication in shared channels using feedback and deep learning.

A novel approach improves understanding and performance of word embeddings.

Robots learn to grasp clothing parts effectively for various tasks.

A fresh method improves S-parameter fitting using fewer measurements.

Using machine learning to create better retirement fund withdrawal plans.

CIMulator aids in optimizing memory devices for better AI performance.

SCALINN combines machine learning and physics for efficient predictions in complex systems.

A new neural network model improves simulations of surface growth under various noise conditions.

Learn about a method that speeds up predictions while keeping data safe.

Research shows UKF's effectiveness in analyzing neuron connections and dynamics.

Researchers speed up exoplanet atmosphere modeling with neural networks for better predictions.

Exploring the evolution of cellular automata with adaptive rules for complex systems.

A new deep learning method improves predictions for stellar atmosphere models.

New techniques aim to speed up image rendering in complex 3D scenes using DDFs.

A method for alpha matte extraction without training, tailored for visual effects.

Using neural networks to enhance predictions in ocean modeling.

IMSRG-Net uses machine learning to streamline complex nuclear physics calculations.

A new analysis explores sparsity's role in enhancing neural network generalization.

A framework to enhance image classification performance with limited data.

LHCb's Run 3 focuses on efficiency and advanced techniques for beauty decay research.

A new neural network method for tracking drones shows promise over traditional techniques.

Exploring the importance of sea surface temperature for weather and ecosystems.

Study challenges traditional views on tumor mutational burden and survival outcomes.

This study examines low-porosity structures inspired by biological designs for energy absorption.

A new method simplifies and improves 3D character animation using video footage.

A new method merges neural networks and finite element techniques for better problem-solving.

Research focuses on reducing model complexity in brain imaging for better diagnosis.

Examining how neural networks can recall training data and the privacy risks involved.

Researchers use neural networks to simulate itinerant magnets and their unique dynamics.

A new method improves heart rate tracking using PPG signals.

An overview of deep learning, its importance, challenges, and future prospects.

Researchers use light data to refine the Hubble parameter measurement.