AI can be Remarkable

Where human brilliance meets industry innovation

Experience what makes AI truly Remarkable at Vector Institute’s signature annual event – a premier gathering bridging cutting-edge AI research with real-world applications. At Remarkable we unite world-renowned researchers, industry visionaries, and future-forward students through thought-provoking sessions, to gain actionable insights, and make meaningful connections that fuel Canada’s momentum on the global AI stage.

Research Symposium: At the Frontier of AI Innovation 

Witness groundbreaking AI research as global pioneers and emerging talents share their latest discoveries. Through visionary keynotes, you’ll explore how cutting-edge AI research shapes real-world applications and drives the future of AI forward.

AI in Action: From Lab Breakthroughs to Market Impact

Experience how industry leaders are leveraging cutting-edge AI research to transform businesses. Through real-world case studies and dynamic panel discussions, you’ll gain practical insights into how today’s AI innovations are creating tomorrow’s solutions.

Get ready for Remarkable 2025

Join the Remarkable 2025 mailing list to receive priority notification when registration begins. Stay informed about speaker announcements, session details, and early registration opportunities.

Looking back at Remarkable 2024

In February 2024, Vector Institute’s inaugural Remarkable conference brought together the brightest minds in AI for three extraordinary days of innovation, collaboration, and discovery.

1,700+
global attendees
25+
countries represented
20
thought-leading speakers

Empowering young visionaries

Cody Coleman – From Journeyman to Master: A Story of Persistence in AI

In this inspiring keynote, Cody Coleman shares his extraordinary journey from humble beginnings to becoming a leader in AI innovation. He discusses the evolution of data-centric AI, the importance of visual content in modern computing, and how persistence and optimism can drive breakthrough achievements in technology.

Speaker: Cody Coleman is the Co-founder and CEO of Coactive AI, an intelligent search company unlocking the value of visual content. He co-founded MLPerf and is a founding member of MLCommons. He holds a PhD in CS from Stanford and MEng and BS degrees in EECS from MIT.

Saba Zuberi & Deval Pandya – Navigating a Career in AI

In this insightful fireside chat, Saba Zuberi shares her unique journey from theoretical particle physics to applied AI, offering valuable perspectives on the intersection of research and industry. Through candid discussion with Vector’s Deval Pandya, she explores how foundational skills and professional relationships shape career growth in AI, while providing practical insights into TD Layer 6’s approach to responsible AI implementation.

Saba Zuberi is the Associate Vice President of Applied AI/ML at Layer 6 AI, TD Bank Group, where she leads a team of Machine Learning Scientists delivering AI/ML solutions across the enterprise. She holds a PhD in theoretical particle physics from the University of Toronto and completed post-doctoral research at Lawrence Berkeley National Laboratory.

Getting Hired in AI: Spotlight on Early Careers – Panel Discussion

In this dynamic panel discussion, four early-career AI leaders share invaluable insights on breaking into the AI industry. From crafting authentic job applications to leveraging networking effectively, the panel offers practical strategies for standing out in today’s competitive job market, with special emphasis on the impact of generative AI on hiring practices and career development.

The panel features Nicole Lee (Senior Manager, AI at Bell Canada), Emily Napier (Data Scientist at Beatdapp), Wafiq Syed (Analytical Lead at Google), and Santoshi Tadanki (Leadership Development Associate at RBC), moderated by Adam Renkosinski (Director, AI Talent Initiatives & Analytics, Vector Institute).

AI in action for industry 

Keith Strier & Tony Gaffney – A Global View of AI Adoption

In this compelling fireside chat, Keith Strier and Tony Gaffney explore the evolving landscape of global AI adoption and infrastructure. Through their discussion, they unpack critical insights about national AI strategies, the importance of sovereign AI capabilities, and the growing recognition of AI compute as critical infrastructure. The conversation offers a unique perspective on how different regions are approaching AI development and the challenges of securing essential computing resources.

Keith Strier, former VP of Worldwide AI Initiatives at NVIDIA, led the company’s AI Nations initiative and spearheaded partnerships to advance sovereign AI capabilities globally. Currently serving as SVP of Global AI Markets at AMD, he continues to drive strategic AI engagements across public and private sectors. Tony Gaffney, as President and CEO of Vector Institute, serves on multiple prestigious AI advisory bodies including the Government of Canada Advisory Council on AI and the OECD.AI network of experts.

AI for Patient Care – Panel Discussion

In this illuminating panel discussion, leading healthcare experts explore how AI is revolutionizing patient care through improved prognosis, streamlined workflows, and enhanced patient monitoring. The conversation delves into real-world implementations of AI in healthcare settings, from Unity Health’s deployment of 50+ AI models to GE Healthcare’s imaging innovations and SickKids’ pioneering work in preventative care.

The panel features Dr. Muhammad Mamdani (VP of Data Science at Unity Health), Mike Hamilton (President of GE Healthcare Canada), and Dr. Anna Goldenberg (Senior Scientist at SickKids), moderated by Roxana Sultan (VP & CDO, Vector Institute). These leaders share insights on patient-centered care, successful AI implementation strategies, and their vision for AI’s role in transforming healthcare from reactive to preventative.

Brian Keng – AI for Financial Services

In this insightful keynote, Brian Keng draws from his experience at Borealis AI to share critical lessons about implementing AI in financial services. He challenges common assumptions about AI deployment, emphasizing the importance of looking beyond models to consider entire systems, data management, and organizational processes. Through practical examples from RBC’s AI initiatives, he illustrates why not every problem can—or should—be solved with AI.

Brian Keng is Research Director at Borealis AI and Adjunct Professor at Rotman School of Management. Leading Borealis AI’s incubator program, he drives innovative AI-enabled solutions for financial services. Previously Chief Data Scientist at both Kinaxis Inc. and Rubikloud Technologies, he brings extensive experience in enterprise AI implementation across multiple industries.

Beena Ammanath – AI Trust & Safety

In this compelling fireside chat, Beena Ammanath shares crucial insights on moving the tech industry beyond accepting “unintended consequences” to embracing proactive responsibility in AI development. Through practical examples and analogies, she illustrates how organizations can balance innovation with ethical considerations, emphasizing the importance of organization-wide AI literacy and responsible deployment.

Beena Ammanath is the Executive Director of the Global Deloitte AI Institute and leads Technology Trust & Ethics practice at Deloitte. Author of “Trustworthy AI” and founder of Humans For AI, she brings extensive global experience in AI implementation across multiple industries, from e-commerce to industrial domains, with companies including GE, HPE, Thomson Reuters, and Bank of America.

AI for Mobility – Panel Discussion

In this dynamic panel discussion, industry leaders explore how AI is revolutionizing transportation across planes, trains, and automobiles. The conversation delves into real-world applications of AI in improving operational efficiency, enhancing customer experiences, and building sustainable transportation solutions. Panelists share insights on certification challenges, data transparency, and the critical balance between innovation and safety.

The panel features Veronica Marin (Manager of Advanced Algorithms, Thales), Philipp Skogstad (President & CEO, Mercedes-Benz R&D North America), and Mohammad Khalil (Director of AI, Air Canada), moderated by Melissa Chee (Vector Institute Board Member).

The Future of AI with global research pioneers

Geoffrey Hinton – Will Digital Intelligence Replace Biological Intelligence?

In this profound keynote, Vector co-founder Geoffrey Hinton explores the philosophical implications of artificial intelligence and its potential to surpass human intelligence. Drawing from decades of expertise, Hinton shares his growing concerns about AI’s existential risks while examining fundamental questions about consciousness, understanding, and the nature of intelligence itself.

Geoffrey Hinton is one of the founding fathers of deep learning and artificial neural networks. He was a Vice President and Engineering Fellow at Google until 2023 and is Professor Emeritus at the University of Toronto. In 2024 Hinton was awarded the Nobel Prize in Physics.

Brendan Frey – BigRNA: A Foundation Model of RNA Biology That Unlocks Drug Discovery

In this groundbreaking keynote, Brendan Frey introduces BigRNA, the world’s first foundation model for RNA biology. He demonstrates how this revolutionary AI system can predict complex RNA mechanisms and accelerate therapeutic development, achieving remarkable accuracy in predicting the effects of genetic mutations and potential drug interventions.

Brendan Frey is the Founder and CIO of Deep Genomics, pioneering the intersection of machine learning and genomic medicine. A Fellow of the Royal Society of Canada and co-founder of the Vector Institute, his fundamental contributions to deep learning and genomics have been featured in Nature, Science, and Cell, shaping the foundation of numerous technological innovations.

Amin Karbasi – Generative Models AAA: Acceleration, Application, Adversary

In this compelling keynote, Professor Amin Karbasi tackles three critical challenges facing generative AI: computational efficiency, practical applications in neuroscience, and security vulnerabilities. He presents groundbreaking solutions for reducing the computational complexity of transformers, introduces BrainLM for understanding neural activity, and reveals concerning insights about AI model susceptibility to automated attacks.

Amin Karbasi is an Associate Professor at Yale University, holding joint appointments in Electrical Engineering, Computer Science, and Statistics & Data Science, while also serving as a Staff Scientist at Google NY. His research focuses on developing scalable and robust algorithms for machine learning and AI systems.

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