Latest Articles for Neural Network

A new method improves efficiency in multi-objective optimization tasks.

Modern tools enhance structured variational autoencoders, making them easier and more effective.

A novel approach using satellite imagery enhances orbit determination.

A new method improves decision-making under uncertainty in energy production.

How data structure shapes the design of neural networks for better performance.

New machine learning model predicts redshifts using only light data from supernovae.

Exploring how brain-like processes enhance machine learning.

A new model generates detailed cosmic simulations from lower-resolution data.

Researchers use deep learning for improved magnetic field reconstruction in tokamaks.

Exploring how neural networks improve spacecraft and drone mission efficiency.

New techniques enhance image matching in medical analysis and diagnostics.

New methods enhance the measurement of plasma properties in research.

This study explores training Ising machines for AI tasks using a novel method.

A fresh approach to make robot navigation faster and smarter.

ReSDF enhances the creation of signed distance functions using deep learning techniques.

A new deep learning method streamlines calibration for robotic-assisted surgeries.

Research reveals how the brain responds to visual concepts.

Neural networks enhance climate data accuracy and efficiency through innovative downscaling techniques.

Discover how quantum techniques can enhance predictions in banking.

This study evaluates the calibration of probabilistic predictions in neural regression models.

A new method for acoustic modeling integrates neural networks with scientific knowledge.

A study on how various climate factors relate to heatwaves in Europe.

New technique improves human recognition in 3D environments using a single image.

A new approach to accurately predict stress in complex materials.

A new neural network method for tackling time-harmonic Maxwell's equations.

Research reveals why DNNs struggle with shape processing compared to humans.

Neural networks offer new ways to solve complex Poisson equations in high dimensions.

PLCMOS offers a new way to evaluate speech quality without human listeners.

A new method for creating realistic impact sounds through neural networks.

Creating synthetic MRI images to aid machine learning in heart health analysis.

Physics-informed neural networks enhance seismic data analysis and interpolation.

Introducing a method that simplifies training neural networks with improved results.

A new method enhances object tracking and speed estimation for self-driving vehicles.

A new method improves prediction of phase changes in materials using unsupervised machine learning.

Research shows how systems learn to adapt in real-time using brain-like mechanisms.

This article discusses how to recreate magnetic tape sound using digital technology.

A study on how neural networks identify damaged shapes compared to humans.

A study on how backbone and pooling layers affect point cloud classification performance.

A new model improves predictions of pedestrian movement by accounting for sensor uncertainty.

A new approach for better insights into complex systems using neural networks.