Latest Articles for Artificial Intelligence

Experience unique worlds shaped by player input and advanced technology.

Learn the importance of high-quality data for responsible AI systems.

Examining methods to tackle inconsistencies in fuzzy relational systems.

A new method enhances age estimation from facial images while minimizing identity influence.

Discover how LLMs improve the handling of table data and SQL queries.

Examining how brain learning principles can enhance machine learning algorithms.

A new method enhances language models specifically for Portuguese.

LatentAugment enhances data diversity for machine learning models using GANs.

Learn how refactoring deep learning code improves performance through automation.

FATE improves text anomaly detection using few labeled examples and innovative learning techniques.

This article focuses on measuring and reducing inaccuracies in smaller language models.

A new method enhances recognition accuracy in blurry images using fewer resources.

New method allows adapting task focus in multi-task learning systems.

A new approach for better sequential recommendation systems

A model for generating natural dialogue in real-time is developed.

Exploring the impact of automated machine learning in medical settings.

Explore initial training strategies in class-incremental learning without retaining past examples.

TargetVAE aims to streamline drug discovery by efficiently generating potential drug compounds.

New models improve robotic grasping efficiency with fewer resources.

New methods improve drone navigation using spoken instructions and historical data.

A new model enhances retrieval accuracy for videos with multiple events.

Examining how AI can enhance fairness in refugee status determination.

ELiOT enhances LiDAR odometry methods for improved robot localization.

This study investigates how authorship representations capture writing styles using deep learning methods.

This study enhances OOD detection methods for better machine learning reliability.

Exploring new methods for object recognition using self-supervised learning techniques.

LtC optimizes video data transmission for enhanced analytics and reduced bandwidth usage.

A method improving mobile image processing through optimized quantization.

This study evaluates pedestrian movement prediction models in crowded environments.

A study on the impact of long-term context in video action segmentation.

Exploring efficient models for similarity matching in machine learning.

A new method improves machine learning by retaining knowledge while learning new tasks.

Equivariance helps neural networks recognize images consistently despite transformations.

A new approach to measure confidence in Transformer model predictions.

Using AI to create innovative batik patterns while honoring tradition.

A method to forecast inner wood defects based on external shapes.

LEAP improves adversarial testing for natural language processing software.

HopPG improves answer accuracy using iterative reasoning for complex questions.

This study explores how smaller receptive fields enhance action recognition in videos.

A new method improves robot navigation efficiency using S-Graphs.