7th International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2026)

The 7th International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2026) explores frontier artificial intelligence, intelligent systems, and computer engineering applications, highlighting advances in trustworthy AI, embodied intelligence, scientific discovery, and intelligent infrastructure.

Key Topics

• Foundations of frontier artificial intelligence
  • Large language models and generative AI
  • Diffusion models and multimodal learning
  • Reinforcement learning and autonomous agents
  • Explainable AI and trustworthy AI
  • AI security, privacy, and adversarial learning
  • Model compression and inference acceleration
  • Few-shot and meta-learning
  • AI algorithms and theory
  • Information retrieval and generative search
• Embodied intelligence and multimodal interaction
  • Embodied intelligence and cognitive architecture
  • Multimodal perception and fusion
  • Machine learning for autonomous agents
  • Human-robot interaction and virtual robots
  • Digital twin and smart environments
  • Vision-speech-motion navigation
  • Tactile perception and control
  • Embodied decision-making and planning
  • Embodied systems coordination
• Artificial intelligence for scientific discovery
  • Scientific machine learning and physical modeling
  • Causal inference and symbolic reasoning
  • Uncertainty quantification and trustworthy AI
  • High-performance computing and simulation acceleration
  • Large-scale scientific data and knowledge discovery
  • AI for drug discovery and materials science
  • AI for climate and earth science
  • Bioinformatics and genomics with AI
  • AI for scientific visualization and knowledge graphs
  • Optimization of scientific experiments with AI
• Aerospace intelligent systems and applications
  • UAV autonomy and control
  • Integrated communication, navigation, and sensing
  • Urban air mobility (UAM/eVTOL)
  • Aerospace intelligent perception and data fusion
  • Intelligent energy conversion and management
  • Low-altitude traffic control and safety
  • Intelligent flight systems and mission planning
  • Adaptive control and intelligent navigation
  • Anti-jamming and secure communication
  • High-precision aerospace manufacturing and testing
• Large-scale safety and trustworthy AI
  • Large-model evaluation and safety benchmarks
  • Data poisoning, hallucination, and robustness
  • Federated learning and privacy protection
  • Adversarial examples and red-team testing
  • Model alignment and value alignment
  • Safe applications and risk governance
  • Trusted computing and controllable generation
  • Security and interpretability of cross-modal large models
  • Compliance and governance of open-source large models
  • Hardware acceleration and secure computing architectures
• Related application areas
  • Smart healthcare and health informatics
  • Intelligent manufacturing and Industry 4.0
  • Intelligent transportation and IoT
  • Agricultural informatics and smart farming
  • Metaverse and virtual reality
  • Computational science
  • Generative AI for arts and creativity

Who should attend

• Artificial intelligence researchers
• Computer engineering professionals
• Machine learning scientists
• Academic researchers
• Industry practitioners
• Graduate students and research scholars