Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Explores neural signal processing, MRI techniques, and imaging validation, emphasizing structural and functional connectivity and clinical applications.
Explores decoding techniques for neural signals using invasive interfaces, regenerative electrodes, and intraneural electrodes to improve prosthesis control and reduce neuroma pain.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Explores the connection between phase transitions in physics and computational problems, showcasing how insights from physics can inform algorithm design.
