The International Conference on Advanced Technologies, Learning Algorithms, and Systems (ATLAS) is an international forum dedicated to sharing knowledge, latest research findings, and innovations in theory, methodology, and applications of cutting-edge technologies, learning algorithms, and intelligent systems. This conference aims to bridge the gap between academic and professional communities, promote cross-disciplinary collaboration, and foster innovation in the field of learning technologies and intelligent systems.
ATLAS provides a platform for presentation, discussion, critique, exchange of innovative ideas, and current challenges in research and applications of advanced technologies and learning algorithms. The conference serves as a venue for researchers, academics, industry practitioners, and students from around the world to interact and establish potential future collaborations.

Focus and Scope

ATLAS covers various topics related to advanced technologies, learning algorithms, and intelligent systems, including but not limited to:
Advanced Technologies
• Distributed computing and cloud computing
• Internet of Things (IoT) and cyber-physical systems
• Blockchain technology and its applications
• Quantum computing and its applications
• 5G/6G technology and advanced wireless communications
• Embedded systems and real-time applications
• Advanced software development technologies
Learning Algorithms
• Machine learning and computational learning theory
• Deep learning and neural networks
• Online learning algorithms and theory
• Unsupervised, semi-supervised, and active learning
• Optimization methods for learning
• Reinforcement learning and control
• Adaptive learning and recommendation systems
• Robustness of learning algorithms against adversarial agents
Intelligent Systems
• Artificial intelligence-based systems
• Intelligent decision support systems
• Big data analytics and data mining
• Computer vision and image processing
• Natural language processing and text analysis
• Robotic systems and intelligent automation
• Security and privacy of intelligent systems
• Multi-agent systems and collaborative computing
Interdisciplinary Applications
• Applications in education and e-learning
• Applications in healthcare and bioinformatics
• Applications in intelligent transportation
• Applications in smart cities and infrastructure
• Applications in smart manufacturing
• Applications in energy and environment
• Applications in cybersecurity
Social and Ethical Aspects
• Fairness and transparency in intelligent systems
• Data privacy and security
• Social impact of advanced technologies
• Policies and regulations for advanced technologies
• Ethics in artificial intelligence and machine learning