Latest Articles for Data Processing

This method accelerates training for sequential models without sacrificing accuracy.

A look at how Transformers and GSSMs handle copying tasks.

Exploring the integration of LLMs in high-performance computing tasks.

DEFT improves efficiency and energy use in large language models with lower activation density.

Discover how proximal Bellman mappings enhance decision-making in reinforcement learning.

This research enhances RNNs by using multiple perspectives for better text processing.

A new technique for optimizing large language models while maintaining performance.

This article introduces a method to speed up network traffic classification.

HEANA accelerates CNN tasks with improved speed and energy efficiency.

Discover how Mamba changes in-context learning for artificial intelligence applications.

Exploring how memory impacts data transformation in classical and quantum agents.

CAST improves the efficiency of self-attention in Transformer models for long sequences.

A novel approach enhances generative models for better quality outputs across domains.

A new approach enhances smartphone GNSS positioning accuracy by correcting pseudorange biases.

Learn about RBMs and their applications in data analysis.

This framework enhances large-scale network testing through efficient simulations and analysis.

MIPS offers a new way to create programs from neural networks.

Research combines self-supervised learning and new measurement techniques for improved speech inversion.

A framework for efficient machine learning deployment in network traffic analysis.

New strategies enhance consumer management for improved message processing.

Mamba-ND enhances processing efficiency for multi-dimensional data with fewer resources.

This article discusses how architectural choices shape the learning process of DNNs.

Exploring the role of Hamming-weight-preserving circuits in enhancing quantum machine learning.

This work improves segmentation of retinal fundus images through noise reduction methods.

Discover how Mixture of Experts enhances generative AI efficiency.

New artificial neurons based on Bose-Einstein condensate show promise for advanced AI applications.

A new method enhances map creation for self-driving cars.

Intra-Fusion combines neurons, making neural networks smaller and more efficient.

New tools improve how systems retrieve information from long documents.

NeuroBench standardizes brainwave authentication studies for improved security techniques.

A new logic design approach enhances speed and reduces power in neural networks.

A new system combines sensors for improved robot navigation and reliability.

Examines LSH's effectiveness when faced with changing query conditions.

Exploring how quantum computing enhances Dempster-Shafer Theory for uncertain data processing.

A new approach to improve model performance across varied data conditions.

A method to improve AI's memory by balancing learning of new and old information.

Learn how technology systems communicate and process information effectively.

New methods aim to improve VR experiences with efficient data processing.

An in-depth look at why transformers struggle with sensitive functions.

New memory models improve efficiency in reinforcement learning training processes.