Where AI possibilities come to life
Now in its third year, Vector Institute's Remarkable conference returns, where groundbreaking research meets real-world innovation.
Building on two years of success, Remarkable 2026 continues to strengthen its position as the nexus where human brilliance converges with industry innovation. Vector believes AI powers possibility, and this conference shows how we advance leading research and bring it to life through real-world impact.
As Canada’s preeminent AI institute, Vector collaborates with research, industry, and government partners to turn breakthroughs into progress and outcomes. Remarkable 2026 offers a rare chance to see where possibility becomes productivity and how Canada’s AI leadership is emerging on the global stage.
This day brings together the best of Canada's AI ecosystem: world-class researchers, industry innovators, and emerging talent who are pushing new boundaries. Through cutting-edge presentations and hands-on workshops across both days, you will gain practical insights, build new connections, and help drive Canada's AI community forward.
Get ready to be inspired, challenged, and empowered at Remarkable 2026!
Immerse yourself in cutting-edge AI research as global pioneers and emerging talent share their latest breakthroughs.
Join us for a full day of visionary keynotes and technical presentations that showcase how research powers possibility.
Alán Aspuru-GuzikUniversity of Toronto, Vector Institute, CIFAR
Professor, Chemistry and Computer Science; Canada 150 Laureate in Theoretical Chemistry; Canada CIFAR AI Chair
Chris MaddisonUniversity of Toronto, Vector Institute, CIFAR
Assistant Professor, Computer Science & Statistical Sciences; Vector Institute Faculty Member; Canada CIFAR AI Chair
| TIME | SESSION | SPEAKER | |
|---|---|---|---|
10:00 a.m. |
Welcome & Opening Remarks |
Glenda Crisp, Vector Institute |
|
10:15 a.m. |
Fireside Chat |
Nick Frosst, Cohere and Glenda Crisp, Vector Institute |
|
10:45 a.m. |
|
Chris Maddison, Vector Institute |
|
11:15 a.m. |
Applied Talk: Guardrails for Agentic AI Enterprise |
Ankita Upadhyay, Thomson Reuters |
|
1:00 p.m. |
Applied Talk: General Visual Intelligence with Video Models |
Priyank Jaini, Google Deepmind |
|
1:30 p.m. |
|
Alan Aspuru-Guzik, Vector Institute |
|
2:30 p.m. |
Broadcast concludes |
Talk Title: Guardrails for Agentic AI Enterprise
Speaker: Ankita Upadhyay, Senior Director, AI Enablement, Thomson Reuters
2025 marked a definitive shift from Large Language Models to complex Agentic AI solutions. We have moved from asking 'What can AI answer?' to 'What can AI do?', enabling enterprises to embrace autonomous decision-making. Consequently, the primary challenge has become the governance of Agentic Autonomy—managing systems that perform independent planning, utilize integrated tools, and execute multi-step processes without constant human intervention.
This session traces the evolution of Responsible AI from its foundations in LLMs to the critical necessity of Agentic Governance in 2026. We will also explore the urgent need for non-linear forms of accountability, ensuring ethical guardrails scale alongside AI’s increasing agency.
Talk Title: General Visual Intelligence with Video Models
Speaker: Priyank Jaini, Research Scientist, Google DeepMind
Just as Large Language Models (LLMs) transformed natural language processing from bespoke tools into unified foundation models, this talk argues that video generation models are poised to drive a similar paradigm shift in computer vision. The talk will demonstrate that large-scale video models, such as Veo 3, possess emergent zero-shot capabilities that extend far beyond video generation. Without any task-specific training, these models can perform tasks across the entire vision stack—from fundamental perception (e.g., segmentation, edge detection) and physical modeling, to image manipulation and complex visual reasoning.



