Conference Objectives
- Advance the global dialogue on responsible AI development, examining ethical frameworks and governance models that keep human values at the center of machine decision-making
- Showcase original research breakthroughs in deep learning architectures, reinforcement learning, and large-scale neural network optimization
- Bridge the gap between academic discovery and industry application by facilitating direct collaboration between research institutions and technology enterprises
- Explore the convergence of machine learning with adjacent disciplines such as quantum computing, bioinformatics, and autonomous robotics
- Equip emerging researchers and early-career practitioners with mentorship opportunities, hands-on workshops, and exposure to state-of-the-art tooling
- Establish Markham as a recurring global nexus for AI scholarship, reinforcing Canada’s leadership role in shaping the future of artificial intelligence policy and innovation
Who Should Attend
We welcome university faculty, ML engineers, doctoral students, and government policy advisors working on AI.
- Academic researchers and university faculty specializing in machine learning, deep learning, and computational intelligence
- Data scientists and ML engineers seeking exposure to the latest algorithmic advances and deployment best practices
- Technology executives and product leaders evaluating AI integration strategies for enterprise transformation
- Graduate and doctoral students presenting first research findings or searching for collaboration and career pathways
- Government policy advisors and regulatory professionals working to design evidence-based AI governance frameworks
- Investors and venture capitalists scouting emerging AI startups and breakthrough research with commercialization potential
- Healthcare, finance, and logistics professionals applying machine learning solutions to domain-specific challenges
Select Ticket Type
Whether you are joining us as a presenter or a dedicated attendee, we have structured our ticket types to suit different professional needs. Explore the options below and select the ticket type that best aligns with your conference goals: all listed prices are fully inclusive of applicable taxes, so there are no surprises at checkout. Register early to take advantage of discounted early-bird rates for this 2026 AI gathering in Markham.
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 international delegates requiring documentation for travel planning, the conference secretariat issues official invitation letters to registered participants upon request. These letters confirm your acceptance and registration status, providing details such as the conference title, dates, and venue in Markham, Canada, which may be submitted to relevant institutions or travel authorities as part of your trip preparation.
Invitation letters are issued exclusively to individuals who have completed a valid conference registration and, where applicable, whose paper or abstract has been accepted through the official review process. Requests should be submitted through the conference portal, and delegates are encouraged to apply well in advance of their intended travel date to allow sufficient processing time and to meet any institutional deadlines.
Please note that the issuance of an official invitation letter by the conference organizing committee does not guarantee, imply, or substitute for a visa approval or any other travel authorization. Visa decisions rest solely with the relevant embassy, consulate, or immigration authority of the destination country, and delegates are solely responsible for initiating and completing their own visa application process in accordance with Canadian immigration requirements.
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 – 2nd International Conference on Machine Learning and Artificial Intelligence
Researchers, practitioners, and experts worldwide are invited to submit original, unpublished contributions that advance the frontiers of machine learning and artificial intelligence. The 2026 Markham edition welcomes full papers, work-in-progress reports, and case studies spanning theoretical foundations, applied systems, and societal implications of AI.
Accepted work may be considered for the conference proceedings where applicable and is presented during the event in Markham, 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 2nd edition, papers can cover any of the conference tracks, for example Machine Learning Theory and Applications, Natural Language Understanding and Text Analytics or AI Applications in Healthcare and Life Sciences.
| 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 2nd International Conference on Machine Learning and Artificial Intelligence undergoes a double-blind peer review conducted by domain experts, ensuring evaluations are grounded in scholarly standards of originality, technical soundness, and contribution to the field. Authors receive structured written feedback regardless of the final decision, supporting continuous improvement of their research.
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 formal certificate of excellence, with their work prominently featured in the conference’s official communications, social media channels, and post-event publications to maximize visibility within the global AI research community
- Winning authors will be invited to present an extended version of their awarded research in a dedicated keynote-adjacent slot during the closing plenary session, and will receive complimentary registration credit applicable to the following edition of the conference as an acknowledgment of their outstanding scholarly contribution
2nd International Conference on Machine Learning and Artificial Intelligence – August 24, 2026 – Markham, 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
- This conference embraces a multidisciplinary scope; while the primary focus is machine learning and artificial intelligence, submitted works addressing related fields — including data science, cognitive computing, robotics, and AI ethics — are welcome and will be evaluated on their relevance and scholarly merit
- Successful paper acceptance or abstract approval does not constitute confirmed attendance at the conference; authors and delegates must complete the full registration and payment process to secure their place, receive access credentials, and be listed in the official program
- The conference program is organized across multiple concurrent tracks and specialized sessions; registered attendees are responsible for reviewing the published schedule and selecting the sessions they wish to attend, as access to certain workshops or tutorials may be subject to capacity limits or require separate registration