Latest Articles for Performance

New architecture enhances speed and accuracy for transformer models in various fields.

This article examines missingness issues in simulation studies and offers practical solutions.

GenJoin learns from hints to improve database query optimization.

This piece examines the varying quality of Wikipedia content in different languages.

A new approach to ORAM enhances data security and efficiency in memory access.

A new approach to tuning robotic controllers makes it faster and cheaper.

Learn how SD-WAN simplifies network management and reduces costs for growing businesses.

Exploring how neural networks mimic human strategic thinking in games.

Learn how quantization helps optimize large language models for everyday use.

A new approach to managing computing resources closer to users.

Learn about the Josephus problem and its connection to strategy games.

ClipFL enhances federated learning by removing noisy devices for better performance.

Bayesian optimization improves dynamic control of large soft robots.

Using smaller models to speed up training for larger language models.

Robots help researchers study how physical touch improves teamwork and performance.

Tree structures improve language model efficiency and organization.

MapSAM revolutionizes how we analyze historical maps efficiently.

SCAN method improves machine learning by using less data efficiently.

Learn how Layer-Adaptive State Pruning improves deep learning models.

A new framework ensures fair performance across all devices in federated learning.

Examining SLAM-ASR's strengths, weaknesses, and future in speech recognition.

A new framework improves speed and memory for machine learning models on edge devices.

AI tools like ChatGPT face energy efficiency challenges that need solutions.

Discover how AI alignment can be achieved with smaller, high-quality datasets.

SoftLM makes language models smaller and faster for everyday use.

Explore the impact of question styles on AI model performance.

A new technique to accelerate Diffusion Transformers without losing quality.

VINO combines physics and machine learning for efficient PDE solutions.

A look into the complexities of shooting while skiing.

Examining how actors' performances shape storytelling in contemporary cinema.

A new method speeds up AI processing without losing accuracy.

Examining the challenges and methods of achieving fairness in machine learning.

Exploring memory-efficient methods for training large machine learning models.

MemFigLess helps developers optimize function memory settings effortlessly.

Wireless technology enhances the adaptability of robots in diverse tasks.

AEROMamba enhances low-quality audio into rich, high-fidelity sound.

New ECIF method enhances performance of multimodal AI models through better data evaluation.

A look at Zarr and TIFF formats for effective image processing.

A new tracker helps drones maintain visibility on moving targets, with real-world applications.

xIELU offers a promising alternative to traditional activation functions in deep learning.