Latest Articles for Data Management

A look into Monotone Minimal Perfect Hashing and its efficiency in data management.

New methods aim to enhance data removal in language models while preserving performance.

Discover how Interactive AI enhances networking responsiveness and user experience.

A method to enhance LLM efficiency without sacrificing performance.

A new framework enhances data flow analysis in software design for better security.

ExeGPT improves efficiency in running large language models for NLP tasks.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

Researchers explore LLMs to enhance EHR phenotyping for health conditions.

Discover how tools enhance language model capabilities and performance.

A new method addresses harmful content generation in AI models.

A new tool to improve access and analysis of agricultural data.

Learn how researchers handle missing data to analyze causal effects.

Larimar enhances large language models with real-time memory updates.

A new approach to handle indexing of uncertain strings effectively.

Learn how to find and combine data for better table creation.

A new method improves memory access prediction and reduces unnecessary DRAM transactions.

This article examines data reduction methods in deep learning for better efficiency.

DAGnosis improves data reliability by effectively identifying inconsistencies.

Learn how to adjust LLMs for unique business needs through fine tuning.

AttentionStore improves efficiency in language model conversations by reusing past caches.

Investigating lossy compression techniques for handling large datasets in machine learning.

Analyzing how video compression techniques affect fisheye camera performance in self-driving cars.

Explore STochastic Gradient Langevin Unlearning for data privacy in machine learning.

A new approach to streamline role-based access control.

This article discusses the chase method and its recent advancements.

A fresh approach to enhance machine reading of complex documents.

A new method enhances fairness in network traffic management using RTT data.

AIDE streamlines data management for enhanced safety in self-driving vehicles.

A new caching model combines advanced techniques to optimize data storage and access.

Optimizing CNN performance on FPGAs through memory management techniques.

Data cleaning ensures reliable information for informed choices across various industries.

Exploring the intersection of blockchain and federated learning for data privacy and security.

Introducing Convolutional Prompting to improve machine adaptation without forgetting.

Strategies to enhance efficiency in data sharing across multiple servers.

New methods improve accuracy in answering complex questions with updated information.

A new approach combines machine learning with fluid dynamics for enhanced simulations.

A new dataset improves retrieval of prior cases for legal professionals.

A study on how T5 processes structured data for SQL queries.

Addressing data availability challenges in power electronic systems with innovative methods.

A proposal for a reference architecture in knowledge engineering to enhance system efficiency.