Adam White, PhD
Pronouns: he/him
Personal Website: https://sites.ualberta.ca/~amw8/
Contact
Assistant Professor, Faculty of Science - Computing Science
- amw8@ualberta.ca
- Address
-
3-07 Athabasca Hall
9119 116 St NWEdmonton ABT6G 2E8
Overview
About
Director of the Alberta Machine Intelligence Institute
Canada CIFAR AI Chair
PI of the Reinforcement Learning and Artificial Intelligence Lab (RLAI)
Education
PhD, Computing Science, University of Alberta, 2015
MSc, Computing Science, University of Alberta, 2006
BSc, Computer Science, University of New Brunswick, 2004
Research
Keywords: Continual Learning, Reinforcement Learning, Robotics, Knowledge Representation and Intrinsic Motivation
Teaching
AI Everywhere, Reinforcement Learning, Artificial Intelligence, Machine Learning
Creator of the Reinforcement Learning MOOC on Coursera
Courses
CMPUT 605 - Topics in Computing Science
INT D 161 - Artificial Intelligence Everywhere
Artificial Intelligence (AI) Everywhere is a non-technical undergraduate online course focused on giving students a foundational understanding of AI and where it can be applied. Although AI is a technical topic, this course is intended to demystify the field and has no prerequisites. This course will first cover the history of AI and its multidisciplinary beginnings with connections to psychology, animal learning, neuroscience, and computing science. From there students will be introduced to the basic components of modern AI through several case studies. The course will explore the role of data collection and human inputs in a range of systems from classical expert systems, to supervised learning, to reinforcement learning systems that generate their own data by interacting with the world. Throughout, we will use simple terms to discuss the general approaches, successes and failures of AI and machine learning systems, as well as interactions with people, including privacy and our ability to understand machines that learn.