TMLS is Canada’s flagship summit for applied ML, AI infrastructure, and enterprise adoption.
Get in front of the AI/ML teams who move fast and buy smart, at scale
60+ Speakers
Researchers, practitioners, and industry leaders sharing practical lessons from real AI and ML work.
4-Day Summit
One virtual day, two in-person days of keynotes and technical sessions, and one dedicated workshop day.
800+ Virtual and In-person Attendees
TMLS 2026 SPEAKER LINEUP IS ROLLING OUT SOON
Hear from the researchers, practitioners, and leaders shaping applied AI in Canada.
TMLS brings together voices from industry and research to share real-world lessons in machine learning, AI infrastructure, enterprise adoption, and applied AI. From keynote sessions to technical talks, the program is built for people looking to learn from work that is grounded in practice.
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Event Chair
Ion Stoica
Oleg Tereshin
Optimizing Vector Search: Why You Should Flatten Structured Data. An Analysis of How Flattening Structured Data Can Boost Precision and Recall by Up to 20%
Naga Sujitha Vummaneni
Jailbreaking the Blockchain: How I Used Game Theory to Map Prompt Injection Attack Surfaces in Agentic Systems
Shasvat Desai
INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce
Mengying Li
Sriram Selvam
Rajiv Shah
Ankit Haseeja
Dippu Kumar Singh
The Vicious Loop: Why Stateless Agents Fail in Production and How We Built Episodic Memory to Fix It
Matthew Mazzarell
Armando Benitez
AI Agents from Experiment to Institutional Capabilities
Dhari Gandhi
Deploying with Purpose: Embedding Economic Evaluation Across the AI Lifecycle
Mario Lazo
The Meaning Gap: Why Your Agent Is Right and Your Deployment Can Be Wrong from $62M Write-Offs to Life-Saving AI Systems in Production — The Human Operating Model that Makes AI Stick.
Korede Adegboye
From Day 2 to Day 10: Operationalizing Evals for Real-World LLM Systems
Anthony Caterini
Zahra Shekarchi
Leading Trustworthy AI Engineering in Legal: Alignment, Trade-offs, and the Glue That Holds It Together
Steven Waslander
Reasoning Robots: Open World Navigation and Memory for Agentic Robots
Mehdi Rezagholizadeh
Ahmed Radwan
Muhammad Mamdani
Anshuman Panwar
Pre-RFP Pension Fund Prospect Ranking: Proxy Targets on Noisy Mandate Data, LLM-Assisted Research, and Human-in-the-Loop Coverage
Hagay Lupesko
Squeezing More Juice Out of Your LLM API: Performance Optimizations and How to Leverage Them
Karthik Guruswamy
Lin Liu
Javeria Ahmed
Olivier Blais
Advanced RAG
Loubna Ben Allal
RESEARCH ENGINEER, LEAD HUGGING FACE, SMOLLM
SmolLM: The Rise of Smol Models
TMLS 2026 Event Schedule
Browse the full summit agenda, including virtual sessions, in-person talks, keynotes, and workshops. Use the embedded schedule below to explore sessions, speakers, and timing across the event.
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TMLS is Canada’s flagship summit for applied ML, AI infrastructure, and enterprise adoption. We bring together the researchers, practitioners, and leaders putting AI into practice across Canada. If you have real lessons, practical wins, or important research to share, we’d love to hear from you.
We’re looking for talks grounded in real work, from production systems and implementation challenges to research that helps the community understand what matters now and what comes next.