Latest Articles for Accuracy

AstroSpy tackles the issue of AI-generated images in astronomy.

TriQXNet improves accuracy in forecasting geomagnetic storm impacts on technology.

Research shows VLMs have poor accuracy in simple visual tasks compared to humans.

New tools aim to improve accuracy in scientific citation attribution.

A study comparing hierarchical inference and traditional methods in edge devices.

New voice command systems enhance drone control without the need for hands.

Interactive segmentation enhances accuracy in placenta imaging for better pregnancy outcomes.

A new approach to improve efficiency in pattern recognition tasks.

Learn how random seed selection impacts AI model performance and reliability.

A new method enhances predictions while saving energy in sensor devices.

This study examines the effectiveness of tailored language models in medical settings.

Combining quantum and classical methods for enhanced data processing efficiency.

This study reveals how speech can estimate breathing rates using advanced models.

A method to enhance the accuracy of Bessel function approximations for real-world applications.

Learn how weight block sparsity boosts AI performance and efficiency.

This paper focuses on improving the reliability of language model outputs.

HPix combines deep learning with satellite images to create precise vector maps.

Introducing a two-step method to improve stock trend forecasting accuracy.

A new method enhances the efficiency of language models using shared attention weights.

EFLD offers a lightweight solution for real-time facial landmark detection on edge devices.

A new method reduces awkward translations using visual aids in data collection.

This article discusses retraining methods using model predictions for improved accuracy.

A study on using algorithmic tools to improve decision consistency in real estate pricing.

NeighborFL enhances traffic prediction accuracy while protecting data privacy.

Calibration ensures predictions align with actual outcomes across various fields.

A new method enhances accuracy in analyzing medical tissue images.

ReSP enhances multi-hop question answering through structured retrieval and intelligent summarization.

LDSeg framework enhances medical image segmentation efficiency and accuracy.

This study compares the accuracy of search engines and large language models for health information.

A model to forecast next actions in soccer games using past data.

Learn effective methods for fine-tuning large language models with less data and lower costs.

Research introduces Top-ML for better anticancer peptide prediction using topological features.

A novel technique for accurately placing logos in images has emerged.

Examining differential privacy and NTK regression to protect user data in AI.

Combining language models and knowledge graphs for accurate health information.

This article tackles miscalibration issues in vision-language models and offers solutions.

Examining issues with large language models in predicting missing list items.

A new quantum method speeds up access point selection for location systems.

This study explores methods to create smaller language models effectively and affordably.

New AI techniques enhance the classification of ovarian cancer subtypes.