Canada joins forces with NVIDIA to enhance computing capabilities in collaboration.

In a recent fireside chat with leaders from Canada’s thriving AI ecosystem, nVidia founder and CEO Jensen Huang emphasized the significant role that Canada plays in the global transformation driven by AI. Speaking to an audience of over 400 individuals from academia, industry, and government in Toronto, Huang praised Canada as the “epicenter of the invention of modern AI.” This sentiment was further reinforced by Canada’s Industry Minister François-Philippe Champagne, who announced that Canada has signed a letter of intent with NVIDIA to strengthen its AI capabilities.

The conversation between Huang and the esteemed panelists, including Raquel Urtasun of Waabi, Brendan Frey of Deep Genomics, University of Toronto Professor Alan Aspuru-Guzik, and Aiden Gomez of Cohere, shed light on Canada’s contributions and growing leadership in the AI field. Huang commended each panelist for their foundational work in various industries and highlighted the importance of inspiring young researchers to continue their work in Canada.

The panelists echoed Huang’s optimism and shared their insights on how AI is reshaping industries, society, and technology. Gomez expressed his excitement about the democratization of AI and the vast opportunities it presents for innovation and disruption. Cohere’s large language models are helping enterprises build powerful applications that can search, understand meaning, and engage in text-based conversations. Gomez emphasized the need for communities of researchers and entrepreneurs to leverage AI to bridge technological divides and foster inclusivity.

Urtasun stressed the importance of safety in autonomous technology, emphasizing its role in saving lives and shaping the future of transportation. Frey highlighted the transformative impact of AI in RNA biology and how it can accelerate drug discovery processes, bringing life-saving therapies to market more efficiently. Aspuru-Guzik discussed the fusion of AI with Quantum Computing and materials science as a frontier for sustainable solutions, emphasizing the need for an innovative environment in Canada.

Together, these visions paint a future where AI enhances societal well-being, drives scientific advancement, and fosters an inclusive global community of innovation. Huang believes that AI presents the greatest opportunity to close the technology divide and create a revolution that benefits everyone.

To learn more about the growing impact of AI worldwide, visit NVIDIA’s AI nations hub.

Background Information

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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Quantum Computing: Quantum computing is a type of advanced computing that takes advantage of the strange behaviors of very small particles. It's like having a supercharged computer that can solve incredibly complex problems much faster than regular computers. It does this by using special "bits" that can be both 0 and 1 at the same time, which allows it to process information in a very unique way. This technology has the potential to make a big impact in areas like data security and solving really tough scientific challenges, but there are still some technical hurdles to overcome before it becomes widely useful.

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