Latest Articles for Accuracy

A new method allows machine learning models to forget data effectively and swiftly.

A new method improves how machines process combined data from different sources.

A novel method reduces memory usage and speeds up large language models.

A study on using AI to monitor tool wear in machining efficiently.

Study examines GPT-3.5-turbo's ability to provide clinical recommendations in emergency settings.

A new method improves reasoning abilities in language models using graphs.

A new benchmark aims to reduce false information in healthcare applications of LLMs.

Scientists enhance CMB analysis with fast, accurate emulator technology.

New interventions seek to reduce bias in GNNs while maintaining accuracy in predictions.

SAM improves feature matching by considering group relationships in images.

Introducing a balanced approach to prune deep neural networks effectively.

This study evaluates sentiment analysis techniques for Bangla using advanced language models.

DynED adapts ensemble models for real-time data stream challenges.

Discover how CIF is changing image creation with technology and algorithms.

A new method enhances training by selecting quality data efficiently.

Examining how humans and algorithms can work together to improve decision-making.

Tryage helps users choose the right language model easily and effectively.

A new dataset provides insights into bias in language technology.

This study examines how time-on-task influences brain activity and cognitive performance.

A novel approach improves understanding of gene interactions in disease treatment.

Investigating how larger targets improve speed in virtual reality selection tasks.

A new method for precise location tracking using only one anchor point.

Examining how census data methods affect school planning accuracy.

A new approach to improve data estimation using side information.

Exploring the role of linear independence in classifier ensembles for improved accuracy.

New methods optimize deep neural networks for better real-world performance.

New catalogue includes over a million quasars, enhancing astronomical research.

This study tests a quantum method for improving image classification accuracy.

New techniques enhance face parsing despite occlusions.

New methods enhance efficiency in training neural operators using mixed precision.

Examining hidden data concerns in machine learning models and their security implications.

A critical look at GPT-3's ability to solve analogy problems.

A dataset to improve human pose and shape estimation using everyday video recordings.

A study on improving head CT image reconstruction using deep learning technology.

New AI model significantly improves brain tumor classification efficiency and accuracy.

A new method enhances food classification accuracy and nutritional detail.

A method to adjust DNN performance in real-time for efficiency.

Research advances in video question answering using text and visual elements.

This study explores domain adaptation techniques for deep learning on encrypted data.

Exploring the potential and challenges of Optical Neural Networks in computing.