9th Asia Conference on Machine Learning and Computing (ACMLC 2027)

The 9th Asia Conference on Machine Learning and Computing (ACMLC 2027) brings together researchers and professionals to discuss advances in machine learning and computing, with a special emphasis on large language model agents and human-AI collaboration.

Key Topics

• Multimodal large language model agents integrating vision, language, and audio
• Agent planning, reasoning, and task decomposition
• External tool use and API integration for intelligent agents
• Multi-agent coordination and cooperation
• Safety assurance and alignment of AI agents
• Domain-specific applications in healthcare, finance, and education
• Benchmarking and evaluation frameworks for agent capabilities
• Memory systems and continual learning for persistent agents
• Human-agent interaction and natural language interfaces
• Architectures and infrastructures for scalable agent deployment
• Computational social science and modeling of social phenomena
• Human-AI collaboration design and interaction patterns
• Behavioral analysis and dynamics in large-scale social networks
• Collective intelligence and distributed problem-solving systems
• Social behavior modeling using AI agents
• Sentiment analysis and cultural computing in social media
• AI ethics, fairness, and social impact research
• Explainable and socially-aware AI systems
• AI for digital governance and policy applications
• Human-robot interaction and social robotics
• AI use in digital humanities and cultural heritage

Who should Attend

• Machine learning and artificial intelligence researchers
• Computer scientists and data scientists
• Developers of intelligent agent systems
• AI ethicists and policy researchers
• Professionals in social computing and digital governance
• Academics and graduate students in computing disciplines
• Industry experts exploring AI-driven social and cultural applications