About the Conference
The 2nd International Conference on Machine Learning and Artificial Intelligence arrives in Toronto, Canada in 2026, bringing together the brightest minds driving the next wave of intelligent systems. This gathering is designed to spark rigorous debate, showcase pioneering research, and forge the cross-disciplinary connections that accelerate real-world AI adoption. From foundational theory to cutting-edge deployment, every session is crafted to push the boundaries of what machine intelligence can achieve.
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 Toronto 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
This conference brings together a vibrant mix of professionals, academics, and thought leaders from around the world.
- 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, a workshop participant, or a dedicated attendee, we have structured our registration tiers to suit every professional need and career stage. Explore the options below and select the package that best aligns with your conference goals — all listed prices are fully inclusive of applicable taxes, so there are no surprises at checkout. Secure your spot early to take advantage of discounted early-bird rates and guarantee your seat at one of 2026’s most anticipated AI gatherings in Toronto.
Select Tickets Type:
Author (Early Bird)
US$499 US$599
Including all taxes
Author (Regular)
US$599
Including all taxes
Listener
US$499
Including all taxes
Guaranteed Safe 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
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 Toronto, 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.
Terms & Conditions
- Please note that all registration fees are non-refundable, non-negotiable, and non-transferable.
- Please make your own arrangements for visa (if applicable), accommodation and transportation.
- After verifying your successful payment, a regular invitation letter will be sent within 3 business days.
- Changes due to spelling or minor mistakes in the invitation letter will cost US$50.
- Invitation letter will not be provided for the Domestic Listener (Early Bird) ticket category.
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
Call for Papers – 2nd International Conference on Machine Learning and Artificial Intelligence
Researchers, practitioners, and thought leaders worldwide are invited to submit original, unpublished contributions that advance the frontiers of machine learning and artificial intelligence. The 2026 Toronto edition welcomes full papers, work-in-progress reports, and case studies spanning theoretical foundations, applied systems, and societal implications of AI.
Accepted work will be published in the official conference proceedings and 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.
| 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 rigorous double-blind peer review conducted by an international program committee of 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.
To submit your author paper, visit here.
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 an engraved recognition trophy alongside 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 (MLAI) – August 23-25, 2026 – Toronto, Canada
[Registration starts 1 PM, Gate closes 1:30 PM]
| 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 |
Day 3, optional City Tour (subject to availability). Participants wishing to join must confirm in advance, as an additional fee applies. To book, please contact the organizing committee.
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
Venue
To be announced.
Contact Us
International Conference Inc.
126 Crystal Ridge Dr, Okotoks, Alberta, T1S 1T9
E-mail: contact@internationalconference.ca
Keynote Speaker
Keynote speaker to be announced. Focus: global transformation, leadership, innovation, and strategic growth.
Terms & Conditions (Attendees & Sponsorships)
- Please note that all registration fees are non-refundable, non-negotiable, and non-transferable.
- Please make your own arrangements for visa (if applicable), accommodation and transportation.
- After verifying your successful payment, a regular invitation letter will be sent within 3 business days.
- Changes due to spelling or minor mistakes in the invitation letter will cost US$50.
- Invitation letter will not be provided for the Domestic Listener (Early Bird) ticket category.
Terms & Conditions (Notarized Invitation Letter)
- Voluntary Service: The provision of a Notarized Invitation Letter is an additional, voluntary service not directly linked to the main conference event.
- No Guarantee of Visa Approval: While this letter carries weight in many jurisdictions, its possession does not guarantee visa approval. The respective consulate or embassy determines visa approval.
- Non-refundable Service: The US$100 fee for the Notarized Invitation Letter is fixed and non-refundable, irrespective of whether the visa is approved or denied.
- Acceptance of Terms: You acknowledge and agree to these terms by requesting a Notarized Invitation Letter.
- Amendments to Terms: We reserve the right to change these terms at any point without notice.
- Processing Time: Upon verification of payment, a Notarized Conference Invitation Letter will be sent within 10 business days.
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