Latest Articles for Neural Network

Symbolic regression offers efficient data analysis on FPGAs for high-energy physics.

SBMI simplifies model selection and analysis using computer simulations and neural networks.

Exploring methods to recognize human actions in videos for various applications.

A novel method for modeling mechanical systems using neural networks.

Using neural networks to approximate likelihood ratios for better scientific decision-making.

Explore the fundamentals and applications of Deep Learning and its geometric variant.

This research proposes optimizing individual neurons for enhanced AI performance.

New machine learning methods improve EOS predictions in warm dense matter.

New techniques enhance simulations of quantum states in materials using machine learning.

New methods improve safety in robotics and autonomous vehicles.

Neural networks improve predictions of electron-nucleus interactions for advancing scientific research.

Language models may reshape genetic sequence generation and analysis.

A new system aims to streamline company and product classification.

Learn how group-invariant GANs improve data efficiency in generative models.

New model improves coreference resolution through parallel multilingual data.

A new method leverages machine learning for quick supernova classification.

A new method uses deep learning to enhance fluid dynamics research efficiency.

Exploring how soft quantum neural networks could reshape computing efficiency.

A new method improves image rendering speed and quality.

A look at RTRL's potential and obstacles in machine learning.

This study looks into how humans learn new visual concepts using alien figures.

A look at how benign overfitting can benefit machine learning models.

Examining the effectiveness and challenges of unlearnable datasets in protecting private information.

A new method improves accuracy in estimating human poses from video.

Explore how sensory adaptation shapes our perception and interactions with the world.

This article explores how deep learning enhances survival analysis and its applications.

A new method improves keyword detection in audio recordings.

Discover how neural path tracing and IPUs enhance graphic rendering.

Researchers enhance sentence simplification methods using paraphrase data for better readability.

Researchers utilize machine learning to improve predictions in high energy particle physics.

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.