Latest Articles for Performance

Learn how neural networks can reduce memory usage in safety-critical system controllers.

Examining limitations of LLMs in translating code and techniques for improvement.

AMIRNet effectively restores images with various types of damage simultaneously.

Examining the impact of synthetic data on AI model performance and learning.

Exploring recent improvements in extracting medication information from clinical texts.

A new method for lowering expenses in machine learning language services.

A simple method for quickly finding keywords in text images.

A new system enhances measurement-based congestion control methods for better performance.

A look at how Minimax Optimization enhances Spiking Neural Networks efficiency.

Researchers combine factorization and quantization to improve AI efficiency.

A novel approach to reduce bias in image recognition models using synthetic data.

Learn about event-driven architecture and its impact on modern software design.

Exploring the impact of instruction complexity on language model performance.

Study reveals how foot speed impacts sprinting using advanced wearable devices.

Study reveals importance of internal focus for movement accuracy without visual feedback.

S2PGNN improves the adaptation of GNNs to labeled data.

Research reveals how delays hinder algorithms in min-max optimization tasks.

This study analyzes how local and visiting fans affect team performance in football.

Study assesses effectiveness of feedback on motor learning through online tasks.

A new method improves how machines process combined data from different sources.

A novel method reduces memory usage and speeds up large language models.

This paper examines how neural image compression adapts to new data challenges.

WasmFX provides new tools for developers to manage advanced programming features in WebAssembly.

Research explores balance in multilingual language models for fairness and privacy.

A study on evolving rankings based on performance over time.

This article examines ways to enhance quantization in deep learning models using TVM.

PaLD offers efficient ways to analyze relationships in large datasets.

A simple setup using quantum dots for effective heat transfer.

A look into best practices for improving system reliability under load.

Voice agents impact teamwork through helpfulness and perceived human-like traits.

ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.

Learn how refactoring deep learning code improves performance through automation.

Exploring the impact of automated machine learning in medical settings.

Tryage helps users choose the right language model easily and effectively.

New dual-band antennas promise improved performance across multiple fields.

A new method enhances efficiency and performance in language model training.

Learn how sparsity improves efficiency in multi-task learning models.

Research shows data cleaning is crucial for enhancing language model effectiveness.

This study enhances efficiency in cardiac MRI image segmentation with fewer annotations.

Nougat transforms academic papers into accessible text formats for everyone.