The 7th International Symposium on AI (ISAI 2027)

The 7th International Symposium on AI (ISAI 2027) explores the latest developments in artificial intelligence across machine learning, cybersecurity, natural language processing, and real-world applications.

Key Topics

• AI for smart and sustainable systems
• Self-supervised learning
• Scalable AI for IoT data
• Emotion and sentiment recognition
• AI in virtual and augmented reality
• AI accountability and regulation
• AI in healthcare and life sciences
• AI in malware and phishing detection
• Commonsense reasoning in AI
• AI in genomics and precision medicine
• Swarm intelligence
• Neuro-symbolic AI integration
• Secure multi-agent systems
• Federated learning for privacy
• Large language models and beyond
• Self-driving vehicles and drones
• Distributed and federated learning
• Homomorphic encryption and AI
• Automated knowledge graph construction
• Energy-efficient AI
• Explainable and trustworthy AI
• Differential privacy in ML
• Optimization and scalability
• AI in cloud and edge data analytics
• Multimodal and embodied AI
• Retrieval-augmented generation
• Speech and human-AI interaction
• Bias and fairness in AI systems
• Transformer models and attention mechanisms
• Graph neural networks for data mining
• AI for anomaly detection
• AI for agriculture and food security
• Smart manufacturing and Industry 4.0
• AI for industrial robotics
• Zero-day attack detection with AI
• AI for low-resource languages
• Neural architecture search
• Conversational AI and chatbots
• AI for network intrusion detection
• TinyML and edge AI
• Predictive healthcare analytics
• Accessibility technologies with NLP
• LLM fine-tuning and optimization
• Medical imaging and diagnostics
• AI in energy grid optimization
• Climate modeling with AI
• Quantum machine learning
• AI for legal document analysis
• AI for drug discovery
• Real-time stream processing

Who should Attend

• Cybersecurity experts
• AI engineers
• Industry professionals in robotics
• Healthcare technology innovators
• Academic researchers in artificial intelligence
• Developers of smart infrastructure systems
• Data scientists and analysts
• Policy makers in technology ethics
• IoT and edge computing specialists
• Professionals in sustainable innovation