Tech Talk Webinar Series
Tech Talks Presents: Redefining the Relationship Between Humans and their Assistive Technologies via Machine Learning and Artificial Intelligence
With guest speaker, Patrick M. Pilarski, PhD
30 AUGUST // 1:00 PM ET
This talk will introduce the use of artificial intelligence and machine learning methods to continually improve the control of and feedback from myoelectric prostheses and improve participants depth of understanding on these technologies by way of a series of concrete examples drawn from our past 10 years of work on developing upper-limb prosthetic interfaces.
Learning Objectives
1. Be aware of the role machine learning and artificial intelligence plays in both the control of and feedback from upper limb prosthetic devices.
2. Be able to reflect (with examples) how modern artificial intelligence methods allow prostheses and other rehabilitation devices to adapt and improve during use.
3. Acquire terms and shared language that enable multidisciplinary conversations about the role that continual machine learning might play in meeting the needs of assistive technology users.
ABOUT PATRICK M. PILARSKI
Dr. Patrick M. Pilarski is a Canada CIFAR Artificial Intelligence Chair, past Canada Research Chair in Machine Intelligence for Rehabilitation, and an Associate Professor in the Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta. In 2017, Dr. Pilarski co-founded DeepMind’s first international research office, located in Edmonton, Alberta, where he served as office co-lead and a Senior Staff Research Scientist until 2023. He is a Fellow and Board of Directors member with the Alberta Machine Intelligence Institute (Amii) and co-leads the Bionic Limbs for Improved Natural Control (BLINC) Laboratory at the University of Alberta; he is the author or co-author of more than 120 peer-reviewed articles, a Senior Member of the IEEE, and has been supported by provincial, national, and international research grants.
