Machine Learning for Brain Health Symposium

The machine learning paradigm is a major new frontier in brain research. It has been used for multiple purposes relating to disorders of consciousness, and for diagnosing and treating psychiatric illness. It is also the driving engine behind brain-computer interfaces. This symposium is a venue for expanding on the current understanding of the interactions between machine learning and brain health.

A group of renowned local, national and international speakers will be discussing diverse topics such as archiving brain data in various forms, the role of machine learning as it relates to mental health and disorders of consciousness, and neuro-engineering applications of machine learning.

Participants at the event will gain an opportunity to interact with prominent researchers in the field, and will also be exposed to the latest ideas in this emerging and exciting area of research.

Researchers are invited to submit a poster on their recent work relating to machine learning and brain health.

This symposium is a joint venture by McMaster’s Faculties of Health Sciences, Science, Engineering and the Humanities Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL).

Event Page: https://www.eng.mcmaster.ca/events/machine-learning-brain-health-symposium