Martigny Campus is one of the campuses operated by Idiap Research Institute. Our records show the address as Martigny, Valais, Switzerland.
Use the address below when you need directions, mailing information or a clear sense of where Martigny Campus is located. Larger institutions often spread teaching, research and administration across multiple sites, so confirm this is the campus relevant to your visit, interview or job application.
The Martigny campus of the Idiap Research Institute, located in the Swiss Alps, is the institute's sole and primary site dedicated to pioneering artificial intelligence research and education. Affiliated with EPFL's Doctoral Schools (EDEE and EDIC), it supervises PhD students and delivers specialized doctoral and master's courses in collaboration with EPFL and the University of Lausanne. The campus emphasizes practical, research-driven learning in areas like machine learning, biometrics, speech processing, robotics, human-computer interaction, and participatory AI, fostering innovation through hands-on projects, technology transfer, and outreach.
- Machine Learning and Deep Learning: Courses such as Machine Learning for Engineers (EE-613) with Python labs for real-world applications, and Deep Learning for Natural Language Processing (EE-608) covering neural networks for text data.
- Speech and Audio Technologies: Digital Speech and Audio Coding (EE-719) on production and perception models; Automatic Speech Processing (EE-554) on recognition and synthesis algorithms.
- Biometrics and Security: Master's course on biometric data analysis for recognition, forensics, cybersecurity, and behavioral biometrics; supported by the Swiss Biometrics Center.
- Robotics and Human-Robot Interaction: Student projects in robot learning, 6D pose estimation for manipulation, interaction managers using RASA, and assistive robotics.
- Social Media and Multimodal Perception: Computational Social Media (DH-500) integrating ML and network science; Perception and Learning from Multimodal Sensors (EE-623) on fusion and deep learning for behavior analysis.
- AI Ethics and Certification: Focus through the Center for AI Certification on fairness, interpretability, and robustness; Center for Participatory AI emphasizing societal impact and open collaboration.
Student projects span social good applications, adaptive control, and human-robot interfaces, preparing graduates for AI leadership roles.
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