Latest Articles for Data Processing

A look into overcoming memory challenges in modern computing.

RRAM technology improves convolutional neural networks' speed and efficiency.

A method to improve communication across different languages and systems.

A look into reducing randomness in algorithms using regular ROBPs.

Introducing OrcoDCS for efficient data processing in IoT environments.

A new method improves SLAM performance using LiDAR and neural networks.

Exploring the Generalized Power Iteration algorithm for network connectivity.

A new approach using point clouds improves skull implant design efficiency.

Innovative methods reduce memory use in semidefinite programming for streaming data.

A new approach improves language model performance through optimized weight rounding.

Exploring how neural networks improve the accuracy of sound source localization.

Discover the role of compressed formats in enhancing AI performance.

A new optical switch enables fast light signal control with single photons.

This study improves SNN performance by factoring in axonal signal delays.

A new approach enhances the HATS algorithm for efficient object classification.

Improving matrix computations by tackling stragglers and enhancing privacy.

New findings shed light on the efficiency of sparse matrix multiplication.

ImageTo360 improves LiDAR segmentation using minimal labeled data from camera images.

Exploring QRMs for improved data analysis in real-world applications.

A new memory management approach enhances performance of large language models.

The ATLAS collaboration improves tracking software to handle high collision rates.

This model improves how neurons adapt to sensory information changes.

This article discusses DRL techniques for improved scheduling in IoT environments.

An overview of tracking techniques and their challenges in complex environments.

Assessing efficiency in MARL algorithms through communication and training methods.

Exploring golden cutting points to enhance quantum circuit efficiency.

A new method for optimizing DNNs for resource-limited devices.

New techniques enhance continual learning in unsupervised settings.

V-nets offer a new perspective on deep learning efficiency and performance.

This technique allows real-time imaging and analysis of tiny structures.

A new method enhances deep learning models on FPGAs for faster processing.

A new method improves AI's ability to learn continuously without forgetting.

Analog computing offers unique advantages for real-time data processing and specialized tasks.

A new method enhances ASR performance through text data integration.

This work explores interchangeability of MLP layers and attention heads in transformers.

A study on parallelizing neural networks using the Go programming language.

This article discusses new methods for improving task offloading in self-driving cars.

A new framework enhances accuracy in 3D data alignment across different sensors.

Exploring the role of GNNs in processing point cloud data.

This article discusses the role of BEV perception in self-driving technology.