Call for Papers – ICGDLAS 2027, Jeddah

Generative AI

Foundation Models and Large Language Models (LLMs)

Multimodal Generative AI

Generative AI for Scientific Research

Retrieval-Augmented Generation (RAG)

AI Agents and Agentic Workflows

Prompt Engineering and Optimization

Fine-Tuning and Transfer Learning for Generative Models

Synthetic Data Generation

AI Content Creation and Creative Intelligence

Generative AI for Software Development

AI-Assisted Knowledge Discovery

Responsible and Ethical Generative AI

Explainability and Safety in Generative AI

Enterprise Applications of Generative AI

Future Trends in Generative AI

Deep Learning

Advanced Deep Learning Architectures

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs) and LSTMs

Transformer Models and Attention Mechanisms

Self-Supervised and Unsupervised Learning

Graph Neural Networks (GNNs)

Deep Reinforcement Learning

Deep Learning for Computer Vision

Deep Learning for Natural Language Processing

Edge AI and Deep Learning Deployment

Federated Deep Learning

Explainable Deep Learning Models

AI Model Optimization and Compression

Deep Learning for Healthcare and Biomedical Applications

Emerging Advances in Deep Learning

Autonomous Systems

Intelligent Autonomous Systems

Autonomous Decision-Making and Planning

Autonomous Mobile Robots

Self-Driving Vehicles and Intelligent Transportation

Autonomous Drone Technologies

Multi-Agent and Swarm Systems

Human-Autonomous System Collaboration

Autonomous Navigation and Localization

AI for Industrial Automation

Autonomous Systems for Smart Manufacturing

Perception and Sensor Fusion

Edge Intelligence for Autonomous Systems

Safety, Security and Reliability of Autonomous Systems

Ethical and Regulatory Challenges in Autonomous Systems

Future Innovations in Autonomous Systems