Latest Articles for Data Management

A new indexing technique improves database operations using GPU capabilities.

New methods improve data indexing for complex paths in databases.

Explore how AI models can improve healthcare data and patient outcomes.

QCQA enhances language models by optimizing memory usage while maintaining accuracy.

New benchmarks ensure AI systems stay relevant with evolving information.

Exploring the role of self-supervised learning in advancing wireless communication.

A new digital signature system improves speed and security in data center applications.

Addressing missing data is vital for reliable healthcare research and patient care.

A fresh method for creating images from text using specialized models.

Investigating the synergy between LLMs and KGs in AI applications.

Exploring methods to enhance the reliability of DNA-based information storage.

Exploring the role of microservices in knowledge discovery for patent applications.

A new approach for clustering items in changing data streams efficiently.

Exploring the significance of unlearning methods in modern machine learning.

This study presents an innovative method for generating trustworthy explanations in automated medical coding.

Assessing data worth is key to improving machine learning outcomes.

Discussing methods to improve data management in training large AI models.

Exploring quantum databases and their potential for data efficiency and speed.

A new method enhances the efficiency of saving model states during training.

Discover how automated methods enhance the identification of valuable datasets from government portals.

Learn how target unlearning safeguards privacy by allowing models to forget specific information.

Explores improved querying techniques for efficient data management through XPath.

Learn strategies for reducing latency in distributed data storage systems.

Refiner improves language model responses by restructuring retrieved information.

UNCTAD creates an open-source RAG tool for better data access and efficiency.

Aurora improves query rewriting using Equality Saturation and Reinforcement Learning.

Improving communication efficiency in distributed computing systems is key to better performance.

This article examines methods to remove user data from neural networks efficiently.

Explore efficient communication focused on relevant data and adapting to changes.

This research focuses on improving methods for removing unwanted information from language models.

Learn best practices for developing AI models responsibly and effectively.

A platform that simplifies access to simulation data for astrophysics research.

Learn how to manage data quality using SHACL and consistent query answering.

SimClone detects data clones in tabular datasets without relying on structural features.

Explore how IoT communication faces challenges and find effective solutions for better connectivity.

A new AI system improves the efficiency of clinical reviews.

New schema improves diagnosis and treatment of rare diseases.

A new unified system improves efficiency in serving large language models.

A new method enhances resource predictions for cloud environments, ensuring efficient operations.

A new method to enhance language models' performance with long texts.