Latest Articles for Artificial Intelligence

Navigating the challenges of autonomous vehicle technology for a safer future.

Learn how to brighten nighttime images and enhance their details.

Discover how TDA helps classify sounds and shapes by measuring similarity.

Examining adversarial attacks and promoting fairness through mixup training.

Exploring how neurons learn effectively in noisy environments.

New methods help devices coordinate during attacks on control channels.

A new library to help solve vehicle routing problems using multi-agent learning.

A fresh method merges images and text for better vision model understanding.

A look at how robots learn to pick things up.

A look into tools shaping safe self-driving technology.

An overview of how model size and data affect learning in deep neural networks.

This project focuses on making AI in trains safe for passengers.

Research seeks to translate brain signals into various types of speech.

A look into verifying the behavior of robotic systems across layers.

Explore how numerical precision impacts algorithms and decision-making.

Monitoring chatbots to prevent mishaps in critical environments.

A new method adjusts learning rates for faster and better model training.

A new monitoring system for robots improves efficiency and reliability.

Learn how layer pruning enhances model efficiency and performance.

Efforts to enhance LLMs for languages with limited training data.

An AI agent learns to organize cluttered spaces using advanced techniques.

Enhancing routing predictions for better electronic devices.

A new approach to rule lists enhances transparency in machine-generated decisions.

Robots enhance object handling with innovative soft surfaces for delicate items.

Combining neural networks and symbolic methods to improve data queries.

Understanding how Knowledge Graphs can reduce false information in AI responses.

New systems combine driving models and LLMs for better autonomous vehicle performance.

Learn how tech streamlines education by aligning course outcomes with program goals.

A new approach to speed up image analysis for AI models.

A look at how we can correct strange features in AI images.

CompetitorFormer enhances 3D instance segmentation by reducing inter-query competition.

Examining the verification needs for intelligent robots in our daily lives.

Research shows that quirky questions can enhance language model training.

Are NLI tasks still relevant for testing large language models?

WARLearn helps machines recognize objects despite challenging weather conditions.

New strategies enhance GNN performance in multi-label node classification tasks.

RAMP helps agents explore new paths for better learning.

Discover how federated learning enhances activity recognition while addressing data challenges.

A new approach enhances chest X-ray accuracy using patient history.

A look into how Multi-LLM-Agent Systems work and their benefits.