Latest Articles for Data Processing

GSL-LPA enhances community detection in large networks by maintaining connectivity.

DyCE optimizes deep learning models for devices with limited resources.

DUFOMap offers efficient real-time mapping for dynamic environments.

New models speed up image and text tasks efficiently.

A new framework improves image recognition accuracy and efficiency for web entities.

A new system enhances the serving of LLMs, tackling latency and memory issues.

BTSbot automates the classification of bright transients from ZTF data, enhancing efficiency.

MADTP improves efficiency of Vision-Language Transformers while maintaining performance.

Researchers merge digital and analog methods for improved optical computing efficiency.

A new method improves voice recognition using fewer labels and resources.

A new method enhances video relationship detection using specialized models.

LD3M improves dataset distillation using latent space and diffusion models for better results.

New software enhances analysis of large brain imaging datasets.

A new method enhances how machines read and interpret tables.

A tool for measuring data shuffling performance in stream processing frameworks.

A new method combines classical and quantum techniques for better data processing.

A new approach combines human insight and artificial intelligence for better opinion mining.

A new approach to enhance CPU inference efficiency in machine learning models.

TCAM-SSD allows faster data processing directly within storage devices.

Examining the importance of timing in evolving wireless communication systems.

New methods improve training speed and efficiency for large language models.

Exploring the role of neuromorphic processors in enhancing satellite communication efficiency.

This article examines if transformers can simulate weighted finite and tree automata.

Introducing deep submodular peripteral networks for effective data learning.

Quokka introduces write-ahead lineage for improved fault recovery in data processing.

New methods improve deep learning efficiency on structured hardware.

This research introduces state-space models for efficient video generation.

New methods enhance machine learning models by reducing resource use while improving accuracy.

New methods enhance performance of language models by optimizing memory usage.

FastMAC offers a faster method for aligning 3D point clouds with high accuracy.

The Lennard-Jones Layer enhances point cloud distribution for better 3D shape analysis.

PSASA offers a faster approach to prototype selection in machine learning.

A new system enhances the output and cost-effectiveness of large language models.

A look at Gaussian Adaptive Attention for improved AI performance.

A new benchmark assesses how machines plan complex tasks with different data types.

CoAVT integrates audio, visual, and text data for enhanced understanding.

A new method enhances image quality in Magnetic Particle Imaging.

Learn how effective weight representation enhances RNN performance for various tasks.

New techniques enable flexible segmentation of Lidar data without extensive labeling.

A novel pruning method enhances efficiency of deep learning in crossbar systems.