Conference Objectives
- Encourage scientific exchange on the latest theoretical advances in machine learning architectures and learning algorithms
- Create an open forum for critically evaluating the ethical, societal, and regulatory dimensions of deploying AI at scale
- Spotlight research bridging foundational ML theory with real-world engineering applications across diverse industries
- Catalyze cross-disciplinary collaborations among academia, government research agencies, and technology-sector practitioners
- Provide an international stage where early-career researchers can present original work and receive expert mentorship
- Examine the evolving landscape of generative AI, large language models, and autonomous decision-making systems with intellectual rigor
Who Should Attend
Postdoctoral fellows, software engineers, AI ethics scholars and investors will find sessions suited to their work.
- Machine learning researchers and PhD candidates publishing in core AI venues
- Software engineers and ML practitioners building production-scale intelligent systems
- Data scientists seeking to align applied methods with state-of-the-art research
- AI ethics scholars, policy analysts, and technology governance professionals
- Chief technology officers and innovation leads from AI-driven enterprises
- Postdoctoral fellows and faculty exploring new research directions in intelligent computing
- Investors and technology strategists tracking the commercialization of advanced AI
Select Ticket Type
Registration for the 17th International Conference on Machine Learning and Artificial Intelligence in Toronto offers a range of participation tiers designed to accommodate academics, industry professionals, and students at different stages of their careers. Each ticket category has been thoughtfully structured to reflect the breadth of programming on offer, from keynote plenary sessions to hands-on technical workshops. All listed registration fees are fully inclusive of applicable taxes, so the price you see is precisely the price you pay.
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 completing your registration for the 17th International Conference on Machine Learning and Artificial Intelligence, you may formally request an official invitation letter through the conference secretariat. This document is issued on conference letterhead and includes your full name, institutional affiliation, registration confirmation number, and the dates and venue of the event in Toronto, Canada, providing consular officers with a clear record of your purpose of travel.
Invitation letters are typically processed and dispatched electronically within three to five business days of a confirmed, paid registration. We strongly advise applicants to initiate their visa applications well in advance of any consular deadlines, as processing times vary considerably across different national authorities and individual circumstances may introduce additional requirements.
Please be advised that the issuance of an official invitation letter by the conference organization does not constitute a guarantee, endorsement, or assurance of visa approval. All decisions regarding entry to Canada rest solely with the competent immigration authorities, and the conference assumes no responsibility or liability for outcomes related to any participant’s visa or travel authorization application.
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 – 17th International Conference on Machine Learning and Artificial Intelligence
The 17th edition invites submission of original, unpublished research contributions that advance the frontiers of machine learning and artificial intelligence in meaningful, reproducible ways. Prospective authors are encouraged to submit work that challenges assumptions, proposes novel methods, or delivers substantive empirical insights across the themes outlined below.
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 17th edition, papers can cover any of the conference tracks, for example Reinforcement Learning and Adaptive Control, Forecasting Models and Predictive Intelligence or Privacy-Preserving and Secure AI Systems.
| 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 is subjected to a double-blind peer review process, ensuring that evaluations are conducted solely on scientific merit without bias toward author identity or institutional affiliation. Reviewers are selected from subject-matter experts in the field, and each submission receives substantive written feedback intended to improve the work regardless of acceptance outcome.
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 ICMLAI 2027 Best Paper Award will receive a formal certificate of excellence co-signed by the conference chairs, along with prominent recognition across all official conference communications, proceedings, and social media channels, providing lasting visibility within the global ML and AI research community.
- Winning authors will be invited to deliver an extended presentation of their recognized work in a dedicated highlight session, granting them a premium platform to elaborate on their findings, methodological innovations, and future research directions before the full conference audience.
17th International Conference on Machine Learning and Artificial Intelligence – April 05, 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 17th International Conference on Machine Learning and Artificial Intelligence is intentionally multidisciplinary in scope; accepted papers and presentations may draw from adjacent fields including statistics, cognitive science, human-computer interaction, and computational linguistics, reflecting the inherently intersectional nature of modern AI research.
- Registration and payment confirm your intent to attend but do not constitute a binding guarantee of physical attendance; the conference organizing committee reserves the right to modify the program, venue arrangements, or delivery format in response to unforeseen circumstances, with timely notice provided to all registered participants.
- Registered participants are expected to be present for and actively engaged throughout the sessions associated with their chosen registration category; selective attendance or persistent non-participation in scheduled programming may affect eligibility for certificates of attendance, presentation awards, or other conference-related credentials.