Latest Articles for Data Processing

This article examines efficient quantum algorithms that improve performance and robustness.

Introducing a new method for training models using tensor networks and matrix product states.

CrossTVR enhances video retrieval based on text descriptions with improved accuracy.

A method to enhance the reliability of streaming algorithms against data corruption.

A new method for better sensor calibration in moving vehicles.

Improving efficiency in decentralized learning for smart devices.

Exploring new ways to process data with light.

HyTrel uses hypergraphs to enhance table understanding and processing.

Explore the workings and improvements of Transformers in various data processing tasks.

ReSample uses latent diffusion models for improved image reconstruction in various applications.

Ada3D improves 3D object detection efficiency for autonomous vehicles.

A method to enhance accuracy in knitted sensor readings using neural networks.

A new method enhances efficiency and performance in vision-language tasks.

A new method enhances model speed and accuracy in machine learning.

AI enhances satellite data processing for quicker, intelligent decision-making in space.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

A new method improves how large language models are updated and used.

Optimizing initial states improves precision in quantum sensor detection.

Examining social and ethical risks in machine learning image generation.

LW PLG-ViT offers efficient performance for visual tasks on limited-resource devices.

A method to automatically find theorems and proofs in scholarly mathematics articles.

Upgrades to hybrid circuits enhance data collection at the LHCb detector.

A novel method enhances point clouds for better 3D analysis.

New techniques improve signal recovery in compressed sensing using proximal operators.

Exploring how LLMs can streamline Business Process Management tasks.

VF-Net enhances dental shape modeling and reconstruction using innovative techniques.

A look at AdjointDPM's impact on generative AI efficiency.

Learn how XLDA efficiently processes large data sets and adapts to new classes.

Efficiently handles bulk data in real-time applications.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

A look at how BT-RvNN improves memory use and performance in neural networks.

New linear models challenge traditional methods in sequence data processing.

A study on improving deep learning models for limited-resource IoT systems.

A method that enhances model performance while reducing resource needs.

A method to convert point clouds into efficient grids for faster analysis.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

This article discusses a new method for incremental learning in object detection.

MARS framework optimizes deep neural networks on multi-accelerator systems.

RRAML combines language models with a retriever for improved content generation.