Latest Articles for Data Processing

New methods improve node subsampling while preserving data quality in various applications.

New methods use image captions to enhance video model training.

A new method for faster and more efficient multiplication in technology.

Research highlights learned equivariance's role in improving image recognition models.

A method to predict job execution times in cloud environments.

Combining 2D images and 3D data enhances segmentation accuracy in various applications.

Discover how tensor networks enhance both quantum and classical machine learning.

Explore recent TCAM developments, including efficient designs and energy-saving technologies.

This study examines counting behavior in linear RNNs and their limitations.

A review of methods to speed up training for large deep learning models.

Explore key methods to enhance machine learning model training for better accuracy and efficiency.

New mask-based training method improves 3D modeling accuracy and versatility.

A new model simplifies training and improves neural network performance across various tasks.

New sensor technology improves data processing efficiency in modern cameras.

Strategies for efficient resource management in a growing IoT landscape.

Event-based cameras offer real-time 3D modeling for various applications.

A new method improves accuracy in detecting human activities using wireless signals.

R-softmax improves model clarity by allowing zero probabilities for certain categories.

This paper examines the advantages and challenges of Logic-in-Memory designs in digital systems.

R-SIP improves EIT imaging quality using a blend of AI and traditional methods.

Resource-efficient CLIP reduces computing needs while maintaining strong performance in image-text tasks.

New algorithm improves decision-making in autonomous vehicles using shared data.

Using advanced radar technology to locate buried landmines effectively.

An innovative approach to aligning videos without prior examples or training.

New model improves radar data processing for better object detection.

A new method identifies actions in videos without needing pre-labeled data.

New approaches to improve efficiency in deep neural networks.

A new method improves point cloud model performance and efficiency.

Combining LIDAR with gray scale images boosts accuracy and saves energy.

Introducing LightRW, an FPGA accelerator boosting performance for graph algorithms.

A new method for ranking numbers in large data streams improves accuracy and efficiency.

New circuits improve speed and efficiency in computing tasks.

A new method improves efficiency in large language models while maintaining accuracy.

RAELLA enhances PIM technology for more efficient DNN inference.

The Abstractor improves how machines understand relationships in data processing.

PCPNet improves future point cloud predictions for self-driving cars using past data.

TransFusionOdom improves robot positioning by merging LiDAR and IMU data.

A method to boost object recognition accuracy in videos using advanced processing techniques.

Learn how to efficiently manage cloud resources with dynamic vector bin packing.

A new method improves CLIP model training efficiency through reduced memory usage.