2027 IEEE International Conference on Advances in Foundation Models and Applied Machine Learning (AFMAML 2027)

The 2027 IEEE International Conference on Advances in Foundation Models and Applied Machine Learning (AFMAML 2027) is a conference that explores foundation model architectures, training and adaptation techniques, applied machine learning, trustworthy and scalable AI systems, and emerging interdisciplinary applications.

Key Topics

• Foundation model architectures and theories
• Training, fine-tuning, and adaptation methods
• Applied machine learning with foundation models
• Trustworthy, efficient, and scalable foundation models
• Emerging applications and interdisciplinary innovations

Who should attend

• Academics and researchers
• Primary, secondary, vocational, and tertiary educators
• Technologists and scientists
• School and technical staff
• Career and employment officers
• Student union representatives