Latest Articles for Artificial Intelligence

This article discusses advancements in mammography image analysis through deep learning techniques.

A new method aims to protect intelligent vehicles from false data attacks.

A deep dive into protein structures and their evolutionary relationships.

Exploring cognitive models to improve agent coordination and decision-making.

This study assesses how ChatGPT performs in matching ontologies.

New methods enhance speech recognition across specific fields without extensive data.

Advanced AI tools can be misused for creating malware, raising cybersecurity concerns.

Exploring AI's role in improving predictions of turbulent fluid flows.

Synthetic data generation enhances privacy while enabling valuable data analysis.

A new method helps online shoppers find complementary items effortlessly.

A new method improves lightweight object detectors using multiple teacher models.

A new method enhances character recognition in comics by combining face and body features.

This article examines the distinctions between human and AI-generated texts.

A new benchmark aims to reduce false information in healthcare applications of LLMs.

A study on maintaining meaning while changing text style.

Explores how robots interact with their environment and make decisions.

MarginMatch enhances learning from limited labeled data using model performance tracking.

This model simplifies explanations by combining multiple tasks into one.

Exploring hidden vulnerabilities in machine learning models and potential countermeasures.

TIP-Net improves heart imaging quality using SPECT technology.

New approach streamlines data integration for enhanced research efficiency.

Explore the latest developments in satellite communication and technology trends.

Researchers improve object detection accuracy in traffic scenes using external knowledge.

An overview of how to assess GEC systems effectively.

This article examines weaknesses in test selection methods for deep learning systems.

A new framework enhances federated learning in multi-cloud settings.

Discover how advanced models enhance low-resolution images for better OCR performance.

Exploring the relationship between AI exposure and job risks in the workforce.

A new method enhances motion prediction using auxiliary learning tasks.

This study improves traffic sign recognition using enhanced image techniques.

This framework combines fairness and robustness for responsible AI systems.

Research highlights new ways to improve model defenses against adversarial attacks.

A new network structure enhances object detection using RGB-D images.

Introducing a new approach to detect camouflaged objects effectively.

A new method improves 3D reconstruction from a single image while preserving learned shapes.

A new method improves AI accuracy in variable environments using label shift adaptation.

This study explores using ear shapes for gender classification.

Language models exhibit new abilities as they grow and learn from diverse data.

A new method enhances language model predictions using smaller example groups.

EDNIL enhances model robustness against changes in data contexts.