Conference Objectives
- Showcase new research in machine learning architectures, deep learning frameworks, and autonomous decision-making systems
- Build collaborative partnerships between academic institutions, industry leaders, and government bodies driving AI policy and innovation
- Provide a platform for presenting novel algorithms, benchmark datasets, and reproducible experimental findings
- Critically examine ethical dimensions of artificial intelligence including fairness, accountability, transparency, and societal impact
- Explore emerging applications of AI across healthcare, climate science, finance, robotics, and natural language processing
- Inspire the next generation of AI researchers through mentorship sessions, career development workshops, and networking opportunities
Who Should Attend
The day is aimed at machine learning researchers, software engineers, data scientists, and AI policy advisors.
- Machine learning researchers and PhD scholars pursuing advances in neural networks and statistical learning
- Software engineers and AI architects building production-grade intelligent systems and MLOps pipelines
- Data scientists applying predictive modeling and AI techniques to solve industry-scale problems
- Academic faculty and department heads seeking collaboration opportunities and curriculum insights in AI education
- Technology executives and product managers integrating artificial intelligence into business strategy and product roadmaps
- Policy advisors and regulatory professionals working on AI governance, ethics frameworks, and public sector adoption
- Startup founders and venture-backed innovators developing AI-first products across emerging technology verticals
Select Ticket Type
Securing your place at ICMLAI 2026 in Toronto is straightforward: simply browse the registration options below and select the ticket type that best aligns with your participation goals, whether you are an early-career researcher, a seasoned academic, or an industry professional. Each ticket category has been thoughtfully priced to reflect the full value of the conference experience, complete with access to keynote sessions and networking events. All listed prices are fully inclusive of applicable taxes, so there are no hidden costs to navigate.
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 your travel planning, the organizing committee of the 1st International Conference on Machine Learning and Artificial Intelligence is pleased to provide official invitation letters to registered participants. These letters are intended to assist attendees in making logistical arrangements, communicating their professional purpose of travel to relevant institutions, or supporting internal approval processes at their home organizations.
Invitation letters are issued exclusively to individuals who have completed a verified registration or whose paper has been officially accepted by the conference program committee. Requests should be submitted through the designated portal on the conference website, and the organizing team will endeavor to process each request in a timely manner to accommodate application deadlines where possible.
Please be advised that the issuance of an invitation letter by the ICMLAI 2026 organizing committee does not constitute a guarantee of visa approval or entry into Canada. All visa and immigration decisions rest solely with the relevant government authorities, and attendees are strongly encouraged to consult the official immigration resources of Canada and begin their application processes well in advance of the event.
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 – 1st International Conference on Machine Learning and Artificial Intelligence
We warmly invite researchers and practitioners worldwide to submit their original contributions to the 1st International Conference on Machine Learning and Artificial Intelligence in Toronto, 2026. Whether your work advances theoretical foundations, proposes novel architectures, or demonstrates impactful real-world applications, this is your stage to share it 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 1st edition, papers can cover any of the conference tracks, for example Machine Learning Algorithms and Models, Supervised and Unsupervised Learning or Computer Vision and Image Understanding.
| 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 1st International Conference on Machine Learning and Artificial Intelligence is subjected to a double-blind peer review, ensuring that each paper is evaluated solely on its intellectual contribution, technical quality, and clarity by reviewers in the field. This transparent and impartial process upholds the highest standards of academic integrity and ensures that only work of genuine merit is presented at the conference.
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:
- The recipient of the Best Paper Award will be honored with a certificate of excellence and prominent recognition across all ICMLAI 2026 communications, including the conference website, proceedings, and social media channels, amplifying the reach and visibility of their research to a global audience
- Winning authors will receive a complimentary full registration waiver for a future edition of the conference, granting them continued access to the ICMLAI community and the opportunity to further showcase their evolving research at no additional cost
1st International Conference on Machine Learning and Artificial Intelligence– August 10, 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
International Conference Inc.
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 a multidisciplinary conference that welcomes contributions spanning the broad spectrum of machine learning and artificial intelligence research; acceptance of a submission reflects its scholarly merit and does not imply institutional endorsement of any specific methodology, tool, or viewpoint expressed by the authors.
- Registration and payment of conference fees confirm a participant’s intent to attend but do not constitute a guaranteed reservation of physical seating or accommodation; attendees are responsible for independently securing lodging and verifying session capacities through official conference communications.
- The conference program is subject to modification, and the organizing committee reserves the right to adjust session schedules, speaker lineups, or presentation formats; registered attendees are advised to monitor official channels for the most current agenda and to note that attendance at specific sessions cannot be guaranteed.