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AI@YorkU

With its interdisciplinary network of scientific, engineering, societal, ethical and legal researchers, York University is building AI solutions for the many important challenges facing our society today.

Feb
18
Tue
Math Foundations for AI at Vector Institute @ Vector Institute
Feb 18 @ 10:00 am – Apr 13 @ 3:00 pm

Course Overview

This course has been designed to give participants the mathematical and computational background required to pursue further courses in the Vector AI Certificate Program for Industry, including Introduction to Machine Learning, Introduction to Deep Learning I & II, and Introduction to Reinforcement Learning.

Computational Thinking for Artificial Intelligence provides an overview of the mathematical and computational foundation that is required to build artificial intelligence and machine learning systems. Participants will also gain an understanding of the historical context, breadth, and current state of the field.

The course will cover fundamental tools and techniques used in machine learning and artificial intelligence, including scientific computing and data analysis in the Python programming language; mathematical foundations; and fundamentals of modeling. We will talk about some basic machine learning algorithms, but we won’t cover any advanced machine learning models or concepts. The course will be split into a series of intensive modules that start with the basic background and principles of core technical artificial intelligence and machine learning, and end with how to apply this foundational knowledge to concrete problems on real datasets.

Mar
18
Wed
Lassonde AI in Science and Engineering Journal Club Series: Professor Sebastian Magierowski @ Lassonde School of Engineering, Room LAS 3033
Mar 18 @ 1:00 pm – 2:00 pm

Welcome to the new journal club series at the Lassonde School of Engineering with the theme of AI in Science and Engineering. The journal club will be held monthly and include a 30-minute presentation of a recent interesting paper in the field followed by 30 minutes of Q&A and discussion. The papers to be presented will be posted in advance so that the audience can review it and be prepared to participate in the discussions. Lunch bites will be provided.

Speaker: Professor Sebastian Magierowski (EMIL Lab, York University)
Paper: A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex

Apr
29
Wed
Lassonde AI in Science and Engineering Journal Club Series: Professor Pirathayini Srikantha @ Lassonde School of Engineering, Room LAS 3033
Apr 29 @ 1:00 pm – 2:00 pm

Welcome to the new journal club series at the Lassonde School of Engineering with the theme of AI in Science and Engineering. The journal club will be held monthly and include a 30-minute presentation of a recent interesting paper in the field followed by 30 minutes of Q&A and discussion. The papers to be presented will be posted in advance so that the audience can review it and be prepared to participate in the discussions. Lunch bites will be provided.

Speaker: Professor Pirathayini Srikantha (RISE Lab, York University)
Paper: Ensemble Adversarial Training: Attacks and Defenses

May
27
Wed
Lassonde AI in Science and Engineering Journal Club Series: Professor Hossein Kassiri @ Lassonde School of Engineering, Room LAS 3033
May 27 @ 1:00 pm – 2:00 pm
Lassonde AI in Science and Engineering Journal Club Series: Professor Hossein Kassiri @ Lassonde School of Engineering, Room LAS 3033

Welcome to the new journal club series at the Lassonde School of Engineering with the theme of AI in Science and Engineering. The journal club will be held monthly and include a 30-minute presentation of a recent interesting paper in the field followed by 30 minutes of Q&A and discussion. The papers to be presented will be posted in advance so that the audience can review it and be prepared to participate in the discussions. Lunch bites will be provided.

Speaker: Professor Hossein Kassiri (ICSL, York University)
Paper: TBD

Vision

AI@YorkU aligns with York’s emphasis upon creativity, innovation and global citizenship, and its reputation as a leader in research that crosses disciplinary boundaries. York will continue to build bridges linking breakthroughs in the science and technology of AI to application domains addressing critical societal needs, while advancing our understanding of the ethical, legal and governance dimensions of this transformative technology.

 
Research

AI research at York is broadly distributed across faculties and departments. Research ranges from the development of new brain-inspired AI systems, through application to smart cities, disaster management, emergency planning and disease transmission models, to novel legal and governance frameworks. A key focus is the research and development of next generation intelligent and interactive AI systems that can work closely and adaptively with humans.
Teaching & Learning

York offers more than 70 AI-related courses that range from the mathematical and computational foundations of machine learning, data mining, computer vision and robotics through to applications relating to gaming and the performing arts, business management of AI systems and the underlying philosophy, law and ethics of AI.
Partnerships

AI research at York is intensely collaborative, involving many industry partners from start-ups to multinationals, as well as public sector agencies and hospitals, particularly in the GTHA.
Highlights:
VISTA (2016-2023)
BRAIN (2016-2021)
ISSUM (2017-2022)
DAV (2015-2021)
DITA (2018-2024)
Entrepreneurship

York University has a thriving AI start-up culture supported by the commercialization experts at Innovation York, IP Osgoode, the Innovation Clinic and the Bergeron Entrepreneurs in Science and Technology (BEST) labs. Application areas include attentive vision systems for sports and security, mobility assessment technologies, construction and real-estate.
International

York maintains more than 125 international AI partnerships with institutions in China, India, Singapore, South Korea, Finland, France, Germany, Sweden, the UK and the US. For example, York University’s Vision: Science to Applications program has partnered with ten international research institutions in China, Germany, the Netherlands, the UK, the US and Austria. York is a co-sponsor, with Xi’an Jiatong University, of the international journal Big Data and Information Analytics.
Faculty Positions

New AI Faculty Hires:
Lassonde: Gene Cheung
Science: Joel Zylberberg
Health: Ingo Fruend
LAPS: Regina Rini

Job Posting:
Full Time Professorial Stream - Assistant Professor
Discipline/Field: Ethics and Artificial Intelligence (AI), Faculty of Liberal Arts & Professional Studies

Student Opportunities

 

Schulich School of Business
Master of Business Analytics

 

Schulich School of Business 
Master of Management in Artificial Intelligence

 

School of Continuing Studies
Certificate in Big Data Analytics

AI in Action

AI research at York is broadly distributed across faculties and departments.

 

get in touch

Are you an academic looking to collaborate on research, current/prospective student looking for study opportunities, or are interested in becoming involved with AI@YorkU?  

YORKAI@YORKU.CA