Conference Objectives
- Advance the theoretical foundations of machine learning by showcasing peer-reviewed research
- Bridge the gap between laboratory innovation and real-world AI deployment across healthcare, finance, climate science, and beyond
- Encourage critical discourse on algorithmic fairness, transparency, and the societal implications of autonomous decision-making
- Highlight emerging paradigms including large-scale foundation models, neuro-symbolic integration, and self-supervised learning architectures
- Cultivate interdisciplinary collaboration between computer scientists, domain experts, ethicists, and policy professionals
- Equip practitioners and researchers with actionable frameworks for responsible AI governance and sustainable model development
Who Should Attend
Sessions suit academic researchers, industry ML engineers, AI ethicists and technology journalists alike.
- Academic researchers and faculty specializing in machine learning, deep learning, and artificial intelligence
- Industry data scientists and ML engineers working on production-scale AI systems
- Graduate and doctoral students seeking exposure to current research
- AI ethicists, policy analysts, and regulatory professionals shaping governance frameworks
- Technology entrepreneurs and startup founders building AI-driven products and platforms
- Chief technology officers and innovation leads from enterprises undergoing AI-led digital transformation
- Journalists, science communicators, and analysts covering the evolving AI landscape
Select Ticket Type
Whether you are joining us as a presenting researcher, an industry practitioner, or a curious delegate eager to absorb the latest developments in AI, we have structured our registration tiers to accommodate varied needs and budgets. All listed ticket prices are fully inclusive of applicable taxes, so the rate you see is the rate you pay, with no hidden charges at checkout. Explore the options below and select the package that best aligns with your goals for the Toronto 2027 experience.
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
To support the participation of accepted authors and registered delegates who require documentation for travel planning purposes, the conference secretariat provides official invitation letters upon request. These letters confirm your registration status, the dates and location of the event, and the nature of your participation, whether as a presenting author, co-author, or attending delegate.
To request an invitation letter, participants must first complete their conference registration and, where applicable, receive notification of paper acceptance. Requests should be submitted through the official portal with full details including your name as it appears in your travel documents, institutional affiliation, and country of residence, allowing the secretariat to produce accurate and timely correspondence.
Please be advised that an invitation letter issued by the conference is a courtesy document intended solely to facilitate your travel arrangements and does not constitute a guarantee of visa approval. All visa applications are subject to the independent assessment of the relevant immigration authorities of Canada, and applicants bear full responsibility for fulfilling the entry requirements of their destination country.
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 – 13th International Conference on Machine Learning and Artificial Intelligence
We invite researchers, practitioners, and industry experts to submit original contributions that push the boundaries of what machine learning and artificial intelligence can achieve. Submissions spanning theoretical advances, applied systems, interdisciplinary methods, and critical AI studies are all warmly encouraged for consideration.
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 13th edition, papers can cover any of the conference tracks, for example Classification, Clustering, and Pattern Learning, Natural Language Processing and Generative Language AI or AI Governance and Responsible Innovation.
| 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 the 13th International Conference on Machine Learning and Artificial Intelligence is subjected to a thorough double-blind peer review by at least two qualified members of the international program committee, ensuring impartial evaluation based solely on scholarly merit. Reviewers assess each submission for technical rigor, originality of contribution, clarity of presentation, and alignment with the conference’s thematic scope before a final editorial decision is rendered.
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 receive a certificate of excellence and be granted a complimentary full-access registration pass to the following edition of the conference, recognizing their outstanding contribution to the advancement of machine learning and AI research.
- Winning authors will be spotlighted in a dedicated feature across the conference’s official digital channels and newsletter, amplifying their research to AI professionals, academics, and industry leaders.
13th International Conference on Machine Learning and Artificial Intelligence – February 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 13th International Conference on Machine Learning and Artificial Intelligence is a multidisciplinary forum that welcomes contributions from adjacent and intersecting fields; the inclusion of research from disciplines beyond core AI and ML does not imply endorsement of any particular methodology or viewpoint.
- Successful submission of a paper or completion of registration does not in itself confirm physical attendance; delegates are responsible for arranging their own travel, accommodation, and any necessary visas, and the organizers reserve the right to modify the program format in response to unforeseen circumstances.
- Registered attendees acknowledge that the conference program is subject to change and that access to specific sessions, workshops, or keynotes may be governed by capacity constraints or scheduling adjustments; the organizing committee is not liable for sessions a delegate is unable to attend.