Latest Articles for Performance

New method improves image and text model performance with limited data.

A method to enhance language models while cutting down on storage requirements.

Study reveals how attention impacts color detection and perception.

Companies reconsidering software structures are moving back to monoliths for various reasons.

A study promotes uniform quality control practices in proteomics core facilities.

A new method improves resource leasing for cloud and edge computing.

This article highlights concerns about the robustness of neural network controllers.

A new method improves translation quality by using task-specific information.

A new approach improves efficiency in solving complex linear systems.

YaRN enhances language models' ability to process extended texts effectively.

Discover how approximate computing optimizes performance in high-performance computing.

Study shows programming languages can improve each other's performance in code generation.

A novel approach identifies biases in medical image segmentation without needing specific labels.

This paper explores tuning configurations for better performance in cloud data platforms.

A new model improves image retrieval across 201 languages with limited resources.

LoopTune optimizes machine learning code using deep reinforcement learning for better performance.

This article discusses bias correction for softmax layers in generative models.

Researchers are improving materials through mechanical regularization techniques.

Explore the significance of counterfactual predictions in predicting health outcomes across treatment scenarios.

A novel approach simplifies neural network training and reduces overfitting.

New method improves model learning through advanced feature distillation techniques.

A new approach to identify drift in unstructured text data.

RRAM technology improves convolutional neural networks' speed and efficiency.

A simulation designed to study problem-solving in hardware reverse engineering tasks.

A look into how LLMs perform on reasoning tasks compared to humans.

LLMs improve software performance and efficiency in code optimization.

A unique live music experience blending audience interaction and technology.

New methods improve efficiency and performance in neural networks using Mixture of Experts.

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

This method simplifies choosing algorithms and settings for machine learning tasks.

This study examines the use of PIM systems to enhance homomorphic encryption performance.

Study shows generative LLMs excel in semantic textual similarity compared to traditional models.

An overview of OWL reasoners' capabilities and usability challenges in 2023.

Research shows counterfactuals can improve smaller language model performance and calibration.

Learn how program variants can improve WebAssembly security against vulnerabilities.

MMEAD improves entity linking for better search results in information retrieval.

A deeper look at the flaws in current university ranking systems.

Research highlights the role of data diversity in machine learning for visual questions.

Research reveals weaknesses in how table models are tested and evaluated.

A new compiler boosts CGRA capabilities for diverse software applications.