Conference Objectives
- Accelerate the exchange of current research findings in machine learning architectures, deep learning, and autonomous AI systems
- Encourage interdisciplinary dialogue that bridges theoretical computer science with practical AI deployment in healthcare, finance, climate science, and beyond
- Cultivate an international network of scholars and industry practitioners dedicated to ethical, transparent, and human-centered artificial intelligence
- Highlight emerging paradigms such as large language models, neuromorphic computing, federated learning, and causal inference
- Provide a structured platform for early-career researchers to present original work and receive mentorship from world-leading AI scientists
- Examine policy, governance, and societal dimensions of AI to ensure that technological progress aligns with global human values and regulatory frameworks
Who Should Attend
If you are a faculty researcher, PhD candidate, ML engineer or healthcare informaticist, this event is planned with you in mind.
- Academic researchers and faculty specializing in machine learning, deep learning, and computational intelligence
- PhD candidates and postdoctoral fellows seeking high-visibility venues for their original AI research
- Data scientists and ML engineers from technology companies and AI-driven startups
- Chief Technology Officers and innovation leads exploring the strategic frontier of enterprise AI adoption
- Government policy advisors and regulatory analysts focused on AI ethics, safety, and governance
- Healthcare informaticists and biomedical engineers applying machine learning to clinical and genomic data
- Investors and venture capitalists tracking breakthrough AI technologies with commercialization potential
Select Ticket Type
Securing your place at the 15th ICMLAI in Toronto is straightforward: simply select the ticket type that best aligns with your participation goals, whether you are presenting new research or attending as an industry professional. Each ticket category is transparently priced with all applicable taxes already included, so the amount you see is the amount you pay. We invite you to explore the options below and register today to take full advantage of early-bird benefits.
Registration Fees
- Early Bird Author Registration – US$499 For authors keen on availing a $100 discount on the regular registration fee, early bird registration is recommended.
- Regular Author Registration – US$599 If the early bird deadline has been missed, authors can opt for the regular registration process.
- Listener Registration – US$499 Individuals interested in attending the conference to expand their knowledge and network can register as listeners.
What Registration Includes
- Admission to the conference sessions
- Conference materials
- Presentation opportunity for eligible authors and speakers
- Certificate of participation or presentation for eligible registered participants
- Networking access
- Conference photo session
- Official registration confirmation
- Invitation letter support for eligible registered participants
- Refreshments or meal items as confirmed in the final venue package
Invitation Letter Support
Upon successful registration for the 15th International Conference on Machine Learning and Artificial Intelligence, attendees may request an official invitation letter from the conference secretariat to support their travel arrangements to Toronto, Canada. This letter is issued on conference letterhead and confirms your registration status, the dates of the event, and the venue details required by embassies and travel authorities.
To obtain your invitation letter, please complete your registration payment in full and submit the letter request form available in your attendee dashboard. The secretariat typically processes requests within three to five business days, and the letter will be delivered electronically to the email address associated with your registration account.
Please note that while the conference secretariat is pleased to provide this official documentation to facilitate your visa application process, the issuance of an invitation letter does not guarantee visa approval. All visa decisions rest solely with the relevant consulate or embassy of Canada, and applicants are solely responsible for fulfilling immigration requirements and submitting their applications in a timely manner.
Before You Register
- Registration fees are non-refundable and cannot be transferred to another person. If your visa is refused, you get 50% off one new registration for a later edition in your name.
- Your invitation letter is emailed within 3 to 5 business days after your payment is verified.
- You arrange your own visa, travel and accommodation.
Call for Papers – 15th International Conference on Machine Learning and Artificial Intelligence
The 15th ICMLAI invites scholars and practitioners worldwide to submit original, unpublished contributions that push the boundaries of machine learning and artificial intelligence research. Whether your work tackles algorithmic innovation, real-world application, ethical challenges, or interdisciplinary integration, Toronto 2027 offers the ideal stage to share your discoveries with a global audience.
Accepted work may be considered for the conference proceedings where applicable and is presented during the event in Toronto, Canada.
Suggested Submission Topics:
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Paper and Abstract Submission
Authors are invited to submit abstracts, research papers, case studies, review papers or professional practice presentations.
All submissions are reviewed before acceptance. Submitted work should be original and not previously published.
For the 15th edition, papers can cover any of the conference tracks, for example Computer Vision and Pattern Recognition, Responsible AI, Fairness, and Algorithmic Accountability or Robotics and Autonomous Intelligent Agents.
| Submission Type | Description |
|---|---|
| Abstract | A concise summary of the research, case study or presentation topic |
| Full Paper | A complete academic or professional paper |
| Case Study | A practical business, management or economic case analysis |
| Review Paper | A literature-based research or industry review |
| Professional Presentation | A practice-based presentation from professional experience |
Submission Guidelines
- Submissions must be written in English.
- Submissions must be original and relevant to the conference theme.
- Abstracts should clearly describe the purpose, method, findings and relevance of the work.
- Full papers should normally be between 4 and 12 pages.
- Authors must complete registration after acceptance to confirm participation.
Peer Review Details
Every manuscript submitted to ICMLAI 2027 undergoes a double-blind peer review process conducted by reviewers in the field, ensuring that accepted works meet the highest standards of scientific originality, methodological soundness, and scholarly contribution. Reviewers are selected for their expertise across the full spectrum of machine learning and AI subfields, and authors receive structured, constructive feedback regardless of the final decision.
To know more about our peer review details, visit here.
Submission Form
Note: If you are interested in participating as an author, you must submit your paper through the Author Paper Submission Form before completing the payment and registration.
Best Paper Award
The Best Paper Award will be announced at the conference closing session. The winner will be rewarded with:
- Recipients of the Best Paper Award will be honored with a certificate of excellence and prominent recognition across all official ICMLAI 2027 publications, digital platforms, and post-conference communications reaching the global AI research community.
- Winning authors will receive a complimentary full registration waiver for a future edition of the conference, providing an enduring opportunity to continue contributing to and benefiting from this premier international forum on machine learning and artificial intelligence.
15th International Conference on Machine Learning and Artificial Intelligence – Mar 03, 2027 – Toronto, Canada
[Registration starts 9 AM, Gate closes 9:30 AM]
| Time | Activity |
|---|---|
| 9:00 AM – 10:00 AM | Registration and networking |
| 10:00 AM – 10:20 AM | Opening remarks |
| 10:20 AM – 11:00 AM | Keynote session |
| 11:00 AM – 12:30 PM | Technical Session 1 |
| 12:30 PM – 1:30 PM | Lunch break |
| 1:30 PM – 3:00 PM | Technical Session 2 |
| 3:00 PM – 3:30 PM | Coffee break |
| 3:30 PM – 4:30 PM | Panel discussion and audience Q&A |
| 4:30 PM – 5:00 PM | Certificate distribution and photo session |
| 5:00 PM – 6:00 PM | Networking session |
Venue
To be announced.
Contact Us
3 Massey Square, East York, Ontario M4C 5L5, Canada
E-mail: [email protected]
Keynote Speaker
Keynote speaker to be announced. Focus: global transformation, leadership, innovation, and strategic growth.
Conference Terms
- Name or spelling changes to an issued invitation letter cost US$50.
- A notarized invitation letter is an optional extra service (US$100), sent within 10 business days after payment. It supports a visa application but does not guarantee approval.
Terms and ConditionsRefund PolicyNotarized Invitation Letter
Disclaimer
- The 15th International Conference on Machine Learning and Artificial Intelligence is a multidisciplinary forum that welcomes research contributions from diverse fields including computer science, engineering, medicine, social sciences, and the humanities; inclusion of a paper does not imply endorsement of any specific methodology or viewpoint by the organizing committee.
- Successful paper acceptance and speaker confirmation do not constitute guaranteed attendance at the conference; all presenters and participants must independently complete the official registration process and adhere to payment deadlines to secure their place at the event.
- The conference program is subject to modification; session schedules, room assignments, and speaker slots may be adjusted by the organizing committee due to logistical or unforeseen circumstances, and registered attendees are advised to monitor official communications for the most current program information.