A Unique Experience
For 8 years TMLS has hosted a unique blend of cutting-edge research, hands-on workshops, & vetted industry case studies reviewed by the Committee for your team’s expansion & growth.
We emphasize community, learning, and accessibility.
TMLS will have its 8th edition in Toronto, Canada July 2024. It will be a forum for researchers, professionals, educators & students to present and discuss innovations, trends, and evolutions in the fields of Artificial Intelligence/Machine Learning across various applications within the industry.
TMLS is a community conference responding to the need to unite academic research, industry opportunities & business strategy in an environment that is safe, welcoming and constructive for those working in the fields of ML/AI.
See our team and learn more about the Toronto Machine Learning Society here.
The conference will be held in person, in downtown Toronto in the beautiful summer setting of Canada’s largest city. Situated on Lake Ontario, it has many diverse cultural neighbourhoods with international cuisine, entertainment, and festivals taking place in the backdrop of the 2 day event.
TOPICS OF INTEREST
It is requested that all presentations be unique and presented as authentic to the contributor, including discussions, existing works, practical studies and experiments relevant to the application of Artificial Intelligence & Machine Learning across industries.
ARTICLE FORMAT AND SUBMISSION
Please read to ensure all requirements are met before submitting.
Submissions must be made online through this submission form
The review process will be made by a committee group, (names and institutions of the authors will not be omitted in the review process). All submissions will be reviewed by at least two experts in the field. The authors of the submissions will be invited to present their session live on stage, within a group setting or in a poster session under the following talk categories;
Business, Strategy, Ethics
Industry Case Studies
Advanced Research & Technical
MLOps & Infrastructure
Formats:
15 min - 30 min presentations
1.5 hr - 3 hr workshops.
IMPORTANT DATES
Deadline for submission of papers: End of April 2024
Results: End of May 2024.
Conference Dates: July 11th (virtual) July 12th & 15th (in-person), 2024
AUTHORS' REGISTRATION
For submissions to be presented and included in the events, it is necessary for at least one of the authors of the work to be physically present in a professional capacity. Participants who are accepted will be provided with full access to the conference, including meals, and social activities in the evening.
CONTACTS:
Executive Organizer: David Scharbach: info@torontomachinelearning.com
Partnerships & booths: Faraz@torontomachinelearning.com
General Inquiries including Visa related inquiries: info@torontomachinelearning.com
Selected speakers will enjoy their full conference fees covered (General Admission Ticket with full access to the sessions)