Latest Articles for Artificial Intelligence

Innovative solutions improve machine learning performance in changing image conditions.

New method improves MRI imaging speed and quality with less data.

This study combines cognitive maps and active inference for better decision-making.

This paper looks at how LLMs enhance dense passage retrieval.

New methods in Description Logics allow for richer knowledge representation and reasoning.

CLLD enhances lane detection under tough conditions using self-supervised learning.

Exploring the benefits and challenges of Multi-Task Learning in NLP.

A new framework enhances robot planning using structured knowledge representation.

A new approach significantly boosts the efficiency and accuracy of subgraph counting.

Examining the impact of AI decision-making on groups and systemic outcomes.

RSpell enhances spelling correction for Chinese in various fields.

A new framework enhances dialogue systems using a cache and retrieval module.

This article addresses misalignment in AI's image-based predictions and proposes solutions.

Examining how model compression affects defenses against adversarial attacks.

Research shows AI can enhance fetal head circumference measurement accuracy.

A new method enhances image generation from text using semantic layouts.

MarginMatch improves model training with high-quality pseudo-labels.

A dataset to enhance automatic differential diagnosis systems for better patient interaction.

SYENet offers real-time solutions for low-level vision tasks on mobile devices.

New methods improve explainability and performance in multi-view learning for various fields.

Research highlights the limitations of transformer models with longer arithmetic inputs.

A new method improves reasoning abilities in language models using graphs.

This article highlights using generative models to create particle physics images.

IGNNet aims to provide clear explanations for machine learning predictions.

A new benchmark for evaluating language models in Chinese medical contexts.

Evaluating feature attribution methods through soundness and completeness for better AI predictions.

VLSTMs enhance predictions of asset price volatility using flexible time scales.

This study examines how pruning affects deep learning models for medical image analysis.

A new framework improves deep learning model reliability against subtle changes.

Examining how adversarial attacks impact DeepReceiver in wireless communication systems.

Evaluating LLMs' ability to detect harmful instructions in user prompts.

This article explores how sensor fusion enhances self-driving vehicle safety and efficiency.

A novel approach enhances multi-objective decision-making for drones in dynamic environments.

This work focuses on robot learning in dynamic environments to enhance task performance.

Exploring how AI tools can assist healthcare professionals in making informed decisions.

New methods enhance energy efficiency in semi-GF NOMA systems.

A new framework enhances action recognition in untrimmed videos.

New framework improves learning from dynamic point cloud videos.

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

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