Conference Objectives
- Accelerate the exchange of breakthrough research in deep learning architectures, reinforcement learning, and generative AI across international boundaries
- Cultivate meaningful partnerships between academic institutions, technology enterprises, and government bodies working at the intersection of AI policy and innovation
- Showcase case studies demonstrating responsible, explainable, and human-centered machine learning deployments in sectors such as healthcare, climate science, and finance
- Provide a structured platform for early-career researchers to present original findings, receive expert critique, and integrate into the global AI research community
- Examine emerging regulatory frameworks, ethical guidelines, and governance mechanisms that will define the next generation of trustworthy AI systems
- Inspire interdisciplinary collaboration by bridging computer science, cognitive science, data engineering, and social sciences within a single, unified scientific agenda
Who Should Attend
This edition suits machine learning researchers, AI product engineers, university faculty, and technology policymakers.
- Machine learning researchers and PhD candidates seeking international peer engagement and publication visibility
- AI product engineers and software architects building production-scale intelligent systems
- Data scientists and analytics professionals applying ML methodologies across enterprise domains
- University faculty and department heads looking to establish collaborative research partnerships
- Technology policymakers and regulatory advisors shaping national and international AI governance frameworks
- Startup founders and venture investors exploring the commercialization frontier of artificial intelligence
- Healthcare, finance, and climate-sector specialists integrating AI-driven decision systems into critical workflows
Select Ticket Type
ICMLAI 2026 offers a range of ticket types for academics and industry professionals. Whether you are presenting new research, attending as a knowledge-seeker, or exploring the conference as a first-time attendee, there is a ticket type suited to your needs. All listed ticket prices are fully inclusive of applicable taxes, so the price you see is the price you pay, with no surprises at checkout.
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
ICMLAI 2026 recognizes that many delegates travel internationally to participate, and the conference secretariat is pleased to provide official invitation letters to support the administrative requirements of attending. Upon successful registration and payment confirmation, attendees may formally request a personalized invitation letter via the dedicated portal on the conference website, with documents typically issued within three to five business days of the request.
The invitation letter issued by ICMLAI 2026 is an official document affirming your registration status, the conference dates, and the Toronto venue details. It is intended to assist delegates in presenting accurate and verifiable information to the relevant authorities as part of their travel preparation process, and is issued solely on the basis of confirmed conference participation.
It is important for all applicants to understand that the invitation letter provided by the ICMLAI 2026 organizing committee is a supporting document only and does not in any way constitute a guarantee of visa approval. Visa decisions rest entirely with the immigration authorities of Canada, and delegates are strongly encouraged to initiate their visa applications well in advance and to seek guidance from the appropriate consular services in their home 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 – 7th International Conference on Machine Learning and Artificial Intelligence
ICMLAI 2026 warmly invites original contributions spanning foundational theory, applied experimentation, and sociotechnical perspectives across all domains of machine learning and artificial intelligence. Researchers are encouraged to submit work that challenges existing paradigms, introduces novel methodologies, or demonstrates measurable real-world impact in the rapidly evolving AI landscape.
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 7th edition, papers can cover any of the conference tracks, for example Deep Learning and Neural Model Optimization, Predictive Intelligence and Decision Support Systems or Explainable AI and Trustworthy Decision-Making.
| 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 2026 undergoes a double-blind peer review process, evaluated by reviewers in the field. Reviewers assess submissions on the basis of originality, methodological soundness, clarity of exposition, and significance of contribution to the field of machine learning and artificial intelligence.
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 2026 Best Paper Award will receive a certificate of excellence and prominent recognition across all official conference publications, proceedings, and digital platforms, amplifying the visibility of their research within the global AI community
- Winning authors will be invited to deliver a featured presentation in a dedicated spotlight session at the conference closing session, providing an unparalleled opportunity to present their landmark findings directly to the full assembly of international delegates and keynote speakers
7th International Conference on Machine Learning and Artificial Intelligence – November 07, 2026 – 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
- ICMLAI 2026 is an intentionally multidisciplinary scientific conference; while its primary focus is machine learning and artificial intelligence, accepted submissions may span adjacent fields including data science, human-computer interaction, robotics, and computational social science, reflecting the inherently cross-domain nature of modern AI research
- Successful submission of a paper or completion of the registration process does not by itself constitute a confirmed place at the conference; attendance is considered confirmed only upon receipt of an official confirmation communication from the organizing secretariat following full payment and verification of registration details
- The conference program is subject to change, and the organizing committee does not guarantee that any specific session, speaker, or workshop will proceed exactly as initially scheduled; attendees are encouraged to monitor official communications and the conference website for the most up-to-date agenda information