Conference Objectives
- Spotlight breakthroughs in deep learning architectures, foundation models, and emergent AI capabilities that are redefining the boundaries of machine intelligence
- Cultivate cross-disciplinary dialogue between computer scientists, ethicists, domain experts, and policymakers to ensure AI development remains human-centered and societally responsible
- Provide a structured platform for early-career researchers to present original work, receive expert critique, and benchmark their contributions against global standards
- Examine real-world deployment challenges, such as scalability, energy efficiency, interpretability, and bias mitigation, through industry case studies
- Accelerate technology transfer by bridging the gap between foundational academic research and production-ready AI applications across healthcare, finance, climate science, and beyond
- Establish enduring international research partnerships and collaborative frameworks that outlast the conference itself, driving sustained innovation in machine learning ecosystems worldwide
Who Should Attend
From PhD candidates and CTOs to government advisors and science journalists, a broad mix of people will take part.
- Academic researchers and PhD candidates specializing in machine learning, deep learning, or statistical AI methodologies
- Industry data scientists and ML engineers seeking exposure to state-of-the-art techniques and peer-validated best practices
- Chief technology officers and product leaders responsible for integrating AI-driven solutions into enterprise-scale platforms
- Government officials and regulatory advisors shaping national and international AI governance frameworks
- Venture capitalists and technology investors evaluating the commercial viability of emerging AI research trajectories
- Healthcare informaticists, climate scientists, and domain specialists applying ML methods to discipline-specific grand challenges
- Science journalists, technology ethicists, and public-interest advocates tracking the societal implications of autonomous intelligent systems
Select Ticket Type
Securing your place at this Toronto AI research event is straightforward: simply browse the ticket types below and select the option that best aligns with your participation goals. Whether you are an established faculty member, an industry practitioner, or a student researcher attending your first major conference, there is a ticket type for you. All listed prices are fully inclusive of applicable taxes, so the amount you see is precisely the amount 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 successful registration, delegates to the 11th International Conference on Machine Learning and Artificial Intelligence may request an official invitation letter to support their travel arrangements to Toronto, Canada. This document is issued on conference letterhead and confirms your registration status, participation dates, and the academic nature of the event, providing immigration authorities with the context needed to evaluate your application.
To receive your invitation letter promptly, please ensure that your registration fee has been processed and that all required personal details, including your full legal name as it appears on your passport and your institutional affiliation, have been submitted accurately through the delegate portal. The organizing secretariat typically processes letter requests within three to five business days and delivers them via email in PDF format suitable for official submission.
It is important to note that the issuance of an official invitation letter by the conference organizers does not guarantee visa approval, as all visa and entry decisions rest exclusively with the immigration authorities of Canada and are governed by each applicant’s individual circumstances. Delegates are strongly advised to begin their visa application process well in advance of the conference dates and to consult their nearest Canadian embassy or consulate for jurisdiction-specific guidance.
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 – 11th International Conference on Machine Learning and Artificial Intelligence
Scholars and practitioners worldwide are invited to submit original, unpublished contributions that push the frontier of machine learning and artificial intelligence research ahead of the 2027 Toronto conference. Submissions spanning theoretical foundations, algorithmic innovation, system design, and applied studies are equally encouraged, provided they offer substantive new knowledge to the global AI community.
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 11th edition, papers can cover any of the conference tracks, for example Feature Learning and Knowledge Representation, Optimization Algorithms and AI Computing or AI Governance and Ethical Risk Management.
| 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 submission to the 11th International Conference on Machine Learning and Artificial Intelligence undergoes a double-blind peer review conducted by reviewers in the field, ensuring that acceptance decisions are grounded in scholarly merit rather than author identity or institutional affiliation. Reviewers assess originality, technical soundness, clarity of exposition, and the significance of the contribution to the broader ML and AI research landscape.
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 at the closing session and will have their work prominently featured in the official conference proceedings digest and across the event’s international communication channels, amplifying the research’s reach to academics and practitioners
- Award-winning authors receive a personalized certificate of excellence co-signed by the conference chairs alongside a complimentary full registration credit applicable to any future edition of the conference, acknowledging their outstanding contribution to the advancement of machine learning and artificial intelligence
11th International Conference on Machine Learning and Artificial Intelligence – January 09, 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.
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 11th International Conference on Machine Learning and Artificial Intelligence is intentionally multidisciplinary in scope; while its thematic core centers on ML and AI, accepted contributions may draw from adjacent fields including statistics, cognitive science, robotics, and domain-specific applications, and the organizing committee makes no claim that all presented research falls within a single narrow discipline
- Registration and payment of conference fees confirm a delegate’s intent to attend but do not constitute a guarantee of physical attendance; the organizing committee reserves the right to modify the event format, dates, or venue in response to circumstances beyond its reasonable control, including public health directives or force majeure events, and will communicate any such changes to registered delegates as promptly as possible
- The conference program is structured across multiple simultaneous tracks and workshop sessions; delegates acknowledge that timetable constraints may prevent attendance at every session of interest, and the organizers make no representation that any specific session, speaker, or presentation will remain on the schedule, as the program is subject to change without notice due to speaker availability or other logistical considerations